1059 Dataflow Jobs - Page 23

Dear Job Seekers, Greetings from Voice Bay! We are currently hiring for Machine Learning Engineer , If you are interested, please submit your application. Please find below the JD for your consideration: Work Location – Hyderabad Exp – 4 – 10 Years Work Mode – 5 Days Work From Office Mandatory Key Responsibilities  Design, develop, and implement end-to-end machine learning models, from initial data exploration and feature engineering to model deployment and monitoring in production environments.  Build and optimize data pipelines for both structured and unstructured datasets, focusing on advanced data blending, transformation, and cleansing techniques to ensure data quality and readiness for modeling.  Create, manage, and query complex databases, leveraging various data storage solutions to efficiently extract, transform, and load data for machine learning workflows.  Collaborate closely with data scientists, software engineers, and product managers to translate business requirements into effective, scalable, and maintainable ML solutions.  Implement and maintain robust MLOps practices, including version control, model monitoring, logging, and performance evaluation to ensure model reliability and drive continuous improvement.  Research and experiment with new machine learning techniques, tools, and technologies to enhance our predictive capabilities and operational efficiency. Required Skills & Experience  5+ years of hands-on experience in building, training, and deploying machine learning models in a professional, production-oriented setting.  Demonstrable experience with database creation and advanced querying (e.g., SQL, NoSQL), with a strong understanding of data warehousing concepts.  Proven expertise in data blending, transformation, and feature engineering, adept at integrating and harmonizing both structured (e.g., relational databases, CSVs) and unstructured (e.g., text, logs, images) data.  Strong practical experience with cloud platforms for machine learning development and deployment; significant experience with Google Cloud Platform (GCP) services (e.g., Vertex AI, BigQuery, Dataflow) is highly desirable.  Proficiency in programming languages commonly used in data science (e.g., Python is preferred, R).  Solid understanding of various machine learning algorithms (e.g., regression, classification, clustering, dimensionality reduction) and experience with advanced techniques like Deep Learning, Natural Language Processing (NLP), or Computer Vision.  Experience with machine learning libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch).  Familiarity with MLOps tools and practices, including model versioning, monitoring, A/B testing, and continuous integration/continuous deployment (CI/CD) pipelines.  Experience with containerization technologies like Docker and orchestration tools like Kubernetes for deploying ML models as REST APIs.  Proficiency with version control systems (e.g., Git, GitHub/GitLab) for collaborative development. Educational Background  Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Engineering, Data Science, or a closely related quantitative field.  Alternatively, a significant certification in Data Science, Machine Learning, or Cloud AI combined with relevant practical experience will be considered.  A compelling combination of relevant education and professional experience will also be valued. Interested Candidates can share their Resume to the below mentioned Email I.D tarunrai@voicebaysolutions.in hr@voicebaysolutions.in Show more Show less

This posting is for one of our International Clients. About the Role We’re creating a new certification: Inside Gemini: Gen AI Multimodal and Google Intelligence (Google DeepMind) . This course is designed for technical learners who want to understand and apply the capabilities of Google’s Gemini models and DeepMind technologies to build powerful, multimodal AI applications. We’re looking for a Subject Matter Expert (SME) who can help shape this course from the ground up. You’ll work closely with a team of learning experience designers, writers, and other collaborators to ensure the course is technically accurate, industry-relevant, and instructionally sound. Responsibilities As the SME, you’ll partner with learning experience designers and content developers to: Translate real-world Gemini and DeepMind applications into accessible, hands-on learning for technical professionals. Guide the creation of labs and projects that allow learners to build pipelines for image-text fusion, deploy Gemini APIs, and experiment with DeepMind’s reinforcement learning libraries. Contribute technical depth across activities, from high-level course structure down to example code, diagrams, voiceover scripts, and data pipelines. Ensure all content reflects current, accurate usage of Google’s multimodal tools and services. Be available during U.S. business hours to support project milestones, reviews, and content feedback. This role is an excellent fit for professionals with deep experience in AI/ML, Google Cloud, and a strong familiarity with multimodal systems and the DeepMind ecosystem. Essential Tools & Platforms A successful SME in this role will demonstrate fluency and hands-on experience with the following: Google Cloud Platform (GCP) Vertex AI (particularly Gemini integration, model tuning, and multimodal deployment) Cloud Functions, Cloud Run (for inference endpoints) BigQuery and Cloud Storage (for handling large image-text datasets) AI Platform Notebooks or Colab Pro Google DeepMind Technologies JAX and Haiku (for neural network modeling and research-grade experimentation) DeepMind Control Suite or DeepMind Lab (for reinforcement learning demonstrations) RLax or TF-Agents (for building and modifying RL pipelines) AI/ML & Multimodal Tooling Gemini APIs and SDKs (image-text fusion, prompt engineering, output formatting) TensorFlow 2.x and PyTorch (for model interoperability) Label Studio, Cloud Vision API (for annotation and image-text preprocessing) Data Science & MLOps DVC or MLflow (for dataset and model versioning) Apache Beam or Dataflow (for processing multimodal input streams) TensorBoard or Weights & Biases (for visualization) Content Authoring & Collaboration GitHub or Cloud Source Repositories Google Docs, Sheets, Slides Screen recording tools like Loom or OBS Studio Required skills and experience: Demonstrated hands-on experience building, deploying, and maintaining sophisticated AI powered applications using Gemini APIs/SDKs within the Google Cloud ecosystem, especially in Firebase Studio and VS Code. Proficiency in designing and implementing agent-like application patterns, including multi-turn conversational flows, state management, and complex prompting strategies (e.g., Chain-of Thought, few-shot, zero-shot). Experience integrating Gemini with Google Cloud services (Firestore, Cloud Functions, App Hosting) and external APIs for robust, production-ready solutions. Proven ability to engineer applications that process, integrate, and generate content across multiple modalities (text, images, audio, video, code) using Gemini’s native multimodal capabilities. Skilled in building and orchestrating pipelines for multimodal data handling, synchronization, and complex interaction patterns within application logic. Experience designing and implementing production-grade RAG systems, including integration with vector databases (e.g., Pinecone, ChromaDB) and engineering data pipelines for indexing and retrieval. Ability to manage agent state, memory, and persistence for multi-turn and long-running interactions. Proficiency leveraging AI-assisted coding features in Firebase Studio (chat, inline code, command execution) and using App Prototyping agents or frameworks like Genkit for rapid prototyping and structuring agentic logic. Strong command of modern development workflows, including Git/GitHub, code reviews, and collaborative development practices. Experience designing scalable, fault-tolerant deployment architectures for multimodal and agentic AI applications using Firebase App Hosting, Cloud Run, or similar serverless/cloud platforms. Advanced MLOps skills, including monitoring, logging, alerting, and versioning for generative AI systems and agents. Deep understanding of security best practices: prompt injection mitigation (across modalities), secure API key management, authentication/authorization, and data privacy. Demonstrated ability to engineer for responsible AI, including bias detection, fairness, transparency, and implementation of safety mechanisms in agentic and multimodal applications. Experience addressing ethical challenges in the deployment and operation of advanced AI systems. Proven success designing, reviewing, and delivering advanced, project-based curriculum and hands-on labs for experienced software developers and engineers. Ability to translate complex engineering concepts (RAG, multimodal integration, agentic patterns, MLOps, security, responsible AI) into clear, actionable learning materials and real world projects. 5+ years of professional experience in AI-powered application development, with a focus on generative and multimodal AI. Strong programming skills in Python and JavaScript/TypeScript; experience with modern frameworks and cloud-native development. Bachelor’s or Master’s degree in Computer Science, Data Engineering, AI, or a related technical field. Ability to explain advanced technical concepts (e.g., fusion transformers, multimodal embeddings, RAG workflows) to learners in an accessible way. Strong programming experience in Python and experience deploying machine learning pipelines Ability to work independently, take ownership of deliverables, and collaborate closely with designers and project managers Preferred: Experience with Google DeepMind tools (JAX, Haiku, RLax, DeepMind Control Suite/Lab) and reinforcement learning pipelines. Familiarity with open data formats (Delta, Parquet, Iceberg) and scalable data engineering practices. Prior contributions to open-source AI projects or technical community engagement. Show more Show less

Title - QA Manual Testing Experience - 5-8 Years Location - Pune & Gurgaon (Hybrid) Key Responsibilities: Understand business requirements and data flows to create comprehensive test plans and test cases for ETL jobs. Perform data validation and reconciliation between source systems, staging, and target data stores (DWH, data lakes, etc.). Develop and execute automated and manual tests to ensure data accuracy and quality. Work with SQL queries to validate data transformations and detect anomalies. Identify, document, and track defects and inconsistencies in data processing. Collaborate with data engineering and BI teams to improve ETL processes and data pipelines. Maintain QA documentation and contribute to continuous process improvements. Must Have Skills: Strong SQL skills – ability to write complex queries for data validation and transformation testing. Hands-on experience in ETL testing – validating data pipelines, transformations, and data loads. Knowledge of data warehousing concepts – dimensions, facts, slowly changing dimensions (SCD), etc. Experience in test case design, execution, and defect tracking . Experience with QA tools like JIRA , TestRail , or equivalent. Ability to work independently and collaboratively in an Agile/Scrum environment. Good to Have Skills: Experience with ETL tools like Informatica, Talend, DataStage , or Azure/AWS/GCP native ETL services (e.g., Dataflow, Glue). Knowledge of automation frameworks using Python/Selenium/pytest or similar tools for data testing. Familiarity with cloud data platforms – Snowflake, BigQuery, Redshift, etc. Basic understanding of CI/CD pipelines and QA integration. Exposure to data quality tools such as Great Expectations , Deequ , or DQ frameworks . Understanding of reporting/BI tools such as Power BI, Tableau, or Looker. Educational Qualifications: Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field. Show more Show less

About Lemongrass Lemongrass is a software-enabled services provider, synonymous with SAP on Cloud, focused on delivering superior, highly automated Managed Services to Enterprise customers. Our customers span multiple verticals and geographies across the Americas, EMEA and APAC. We partner with AWS, SAP, Microsoft and other global technology leaders. We are seeking an experienced Cloud Data Engineer with a strong background in AWS, Azure, and GCP. The ideal candidate will have extensive experience with cloud-native ETL tools such as AWS DMS, AWS Glue, Kafka, Azure Data Factory, GCP Dataflow, and other ETL tools like Informatica, SAP Data Intelligence, etc. You will be responsible for designing, implementing, and maintaining robust data pipelines and building scalable data lakes. Experience with various data platforms like Redshift, Snowflake, Databricks, Synapse, Snowflake and others is essential. Familiarity with data extraction from SAP or ERP systems is a plus. Key Responsibilities: Design and Development: Design, develop, and maintain scalable ETL pipelines using cloud-native tools (AWS DMS, AWS Glue, Kafka, Azure Data Factory, GCP Dataflow, etc.). Architect and implement data lakes and data warehouses on cloud platforms (AWS, Azure, GCP). Develop and optimize data ingestion, transformation, and loading processes using Databricks, Snowflake, Redshift, BigQuery and Azure Synapse. Implement ETL processes using tools like Informatica, SAP Data Intelligence, and others. Develop and optimize data processing jobs using Spark Scala. Data Integration and Management: Integrate various data sources, including relational databases, APIs, unstructured data, and ERP systems into the data lake. Ensure data quality and integrity through rigorous testing and validation. Perform data extraction from SAP or ERP systems when necessary. Performance Optimization: Monitor and optimize the performance of data pipelines and ETL processes. Implement best practices for data management, including data governance, security, and compliance. Collaboration and Communication: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions. Collaborate with cross-functional teams to design and implement data solutions that meet business needs. Documentation and Maintenance: Document technical solutions, processes, and workflows. Maintain and troubleshoot existing ETL pipelines and data integrations. Qualifications Education: Bachelor’s degree in Computer Science, Information Technology, or a related field. Advanced degrees are a plus. Experience: 7+ years of experience as a Data Engineer or in a similar role. Proven experience with cloud platforms: AWS, Azure, and GCP. Hands-on experience with cloud-native ETL tools such as AWS DMS, AWS Glue, Kafka, Azure Data Factory, GCP Dataflow, etc. Experience with other ETL tools like Informatica, SAP Data Intelligence, etc. Experience in building and managing data lakes and data warehouses. Proficiency with data platforms like Redshift, Snowflake, BigQuery, Databricks, and Azure Synapse. Experience with data extraction from SAP or ERP systems is a plus. Strong experience with Spark and Scala for data processing. Skills: Strong programming skills in Python, Java, or Scala. Proficient in SQL and query optimization techniques. Familiarity with data modeling, ETL/ELT processes, and data warehousing concepts. Knowledge of data governance, security, and compliance best practices. Excellent problem-solving and analytical skills. Strong communication and collaboration skills. Preferred Qualifications: Experience with other data tools and technologies such as Apache Spark, or Hadoop. Certifications in cloud platforms (AWS Certified Data Analytics – Specialty, Google Professional Data Engineer, Microsoft Certified: Azure Data Engineer Associate). Experience with CI/CD pipelines and DevOps practices for data engineering Selected applicant will be subject to a background investigation, which will be conducted and the results of which will be used in compliance with applicable law. What we offer in return: Remote Working: Lemongrass always has been and always will offer 100% remote work Flexibility: Work where and when you like most of the time Training: A subscription to A Cloud Guru and generous budget for taking certifications and other resources you’ll find helpful State of the art tech: An opportunity to learn and run the latest industry standard tools Team: Colleagues who will challenge you giving the chance to learn from them and them from you Lemongrass Consulting is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate on the basis of race, religion, color, national origin, religious creed, gender, sexual orientation, gender identity, gender expression, age, genetic information, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics Show more Show less

Job Title: Data Modeler / Data Analyst Experience : 6 – 8 Years Location : Pune Job Summary We are looking for a seasoned Data Modeler / Data Analyst to design and implement scalable, reusable logical and physical data models on Google Cloud Platform—primarily BigQuery. You will partner closely with data engineers, analytics teams, and business stakeholders to translate complex business requirements into performant data models that power reporting, self-service analytics, and advanced data science workloads. Key Responsibilities · Gather and analyze business requirements to translate them into conceptual, logical, and physical data models on GCP (BigQuery, Cloud SQL, Cloud Spanner, etc.). · Design star/snowflake schemas, data vaults, and other modeling patterns that balance performance, flexibility, and cost. · Implement partitioning, clustering, and materialized views in BigQuery to optimize query performance and cost efficiency. · Establish and maintain data modelling standards, naming conventions, and metadata documentation to ensure consistency across analytic and reporting layers. · Collaborate with data engineers to define ETL/ELT pipelines and ensure data models align with ingestion and transformation strategies (Dataflow, Cloud Composer, Dataproc, dbt). · Validate data quality and lineage; work with BI developers and analysts to troubleshoot performance issues or data anomalies. · Conduct impact assessments for schema changes and guide version-control processes for data models. · Mentor junior analysts/engineers on data modeling best practices and participate in code/design reviews. · Contribute to capacity planning and cost-optimization recommendations for BigQuery datasets and reservations. Must-Have Skills · 6-8 years of hands-on experience in data modeling, data warehousing, or database design, including at least 2 years on GCP BigQuery. · Proficiency in dimensional modeling, 3NF, and modern patterns such as data vault. · Expert SQL skills with demonstrable ability to optimize complex analytical queries on BigQuery (partitioning, clustering, sharding strategies). · Strong understanding of ETL/ELT concepts and experience working with tools such as Dataflow, Cloud Composer, or dbt. · Familiarity with BI/reporting tools (Looker, Tableau, Power BI, or similar) and how model design impacts dashboard performance. · Experience with data governance practices—data cataloging, lineage, and metadata management (e.g., Data Catalog). · Excellent communication skills to translate technical concepts into business-friendly language and collaborate across functions. Good to Have · Experience of working on Azure Cloud (Fabric, Synapse, Delta Lake) Education · Bachelor’s or master’s degree in computer science, Information Systems, Engineering, Statistics, or a related field. Equivalent experience will be considered. Show more Show less

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you. What You’ll Do As a Senior Developer at Equifax, you will oversee and steer the delivery of innovative batch and data products, primarily leveraging Java and the Google Cloud Platform (GCP). Your expertise will ensure the efficient and timely deployment of high quality data solutions that support our business objectives and client needs. Project Development: Development, and deployment of batch and data products, ensuring alignment with business goals and technical requirements. Technical Oversight: Provide technical direction and oversee the implementation of solutions using Java and GCP, ensuring best practices in coding, performance, and security. Team Management: Mentor and guide junior developers and engineers, fostering a collaborative and high performance environment. Stakeholder Collaboration: Work closely with cross functional teams including product managers, business analysts, and other stakeholders to gather requirements and translate them into technical solutions. Documentation and Compliance: Maintain comprehensive documentation for all technical processes, ensuring compliance with internal and external standards. Continuous Improvement: Advocate for and implement continuous improvement practices within the team, staying abreast of emerging technologies and methodologies. What Experience You Need Education: Bachelor's degree in Computer Science, Information Technology, or a related field. Experience: Minimum of 2-5 years of relevant experience in software development, with a focus on batch processing and data solutions. Technical Skills: Proficiency in Java, with a strong understanding of its ecosystems. 2+ year of relevant Java, Sprint, Spring Boot, REST, Microservices, Hibernate, JPA, RDBMS Minimum 2 Git, CI/CD Pipelines, Jenkins Experience with Google Cloud Platform, including BigQuery, Cloud Storage, Dataflow, Big Table and other GCP tools. Familiarity with ETL processes, data modeling, and SQL. Soft Skills: Strong problem solving abilities and a proactive approach to project management. Effective communication and interpersonal skills, with the ability to convey technical concepts to nontechnical stakeholders. What Could Set You Apart Technical Skills: Proficiency in Java, with a strong understanding of its ecosystems. 2+ year of relevant Java, Sprint, Spring Boot, REST, Microservices, Hibernate, JPA, RDBMS Minimum 2 Git, CI/CD Pipelines, Jenkins Experience with Google Cloud Platform, including Big Query, Cloud Storage, Dataflow, Big Table and other GCP tools. Familiarity with ETL processes, data modeling, and SQL. Certification in Google Cloud (e.g., Associate Cloud Engineer). Experience with other cloud platforms (AWS, Azure) is a plus. Understanding of data privacy regulations and compliance frameworks. We offer a hybrid work setting, comprehensive compensation and healthcare packages, attractive paid time off, and organizational growth potential through our online learning platform with guided career tracks. Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference! Who is Equifax? At Equifax, we believe knowledge drives progress. As a global data, analytics and technology company, we play an essential role in the global economy by helping employers, employees, financial institutions and government agencies make critical decisions with greater confidence. We work to help create seamless and positive experiences during life’s pivotal moments: applying for jobs or a mortgage, financing an education or buying a car. Our impact is real and to accomplish our goals we focus on nurturing our people for career advancement and their learning and development, supporting our next generation of leaders, maintaining an inclusive and diverse work environment, and regularly engaging and recognizing our employees. Regardless of location or role, the individual and collective work of our employees makes a difference and we are looking for talented team players to join us as we help people live their financial best. Equifax is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Show more Show less

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you. Equifax is seeking creative, high-energy and driven software engineers with hands-on development skills to work on a variety of meaningful projects. Our software engineering positions provide you the opportunity to join a team of talented engineers working with leading-edge technology. You are ideal for this position if you are a forward-thinking, committed, and enthusiastic software engineer who is passionate about technology. What You’ll Do Design, develop, and operate high scale applications across the full engineering stack Design, develop, test, deploy, maintain, and improve software. Apply modern software development practices (serverless computing, microservices architecture, CI/CD, infrastructure-as-code, etc.) Work across teams to integrate our systems with existing internal systems, Data Fabric, CSA Toolset. Participate in technology roadmap and architecture discussions to turn business requirements and vision into reality. Participate in a tight-knit, globally distributed engineering team. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on network, or service operations and quality. Manage sole project priorities, deadlines, and deliverables. Research, create, and develop software applications to extend and improve on Equifax Solutions Collaborate on scalability issues involving access to data and information. Actively participate in Sprint planning, Sprint Retrospectives, and other team activity What Experience You Need Bachelor's degree or equivalent experience 5+ years of software engineering experience 5+ years experience writing, debugging, and troubleshooting code in mainstream Java, SpringBoot, TypeScript/JavaScript, HTML, CSS 5+ years experience with Cloud technology: GCP, AWS, or Azure 5+ years experience designing and developing cloud-native solutions 5+ years experience designing and developing microservices using Java, SpringBoot, GCP SDKs, GKE/Kubernetes 5+ years experience deploying and releasing software using Jenkins CI/CD pipelines, understand infrastructure-as-code concepts, Helm Charts, and Terraform constructs What could set you apart Self-starter that identifies/responds to priority shifts with minimal supervision. Experience designing and developing big data processing solutions using Dataflow/Apache Beam, Bigtable, BigQuery, PubSub, GCS, Composer/Airflow, and others UI development (e.g. HTML, JavaScript, Angular and Bootstrap) Experience with backend technologies such as JAVA/J2EE, SpringBoot, SOA and Microservices Source code control management systems (e.g. SVN/Git, Github) and build tools like Maven & Gradle. Agile environments (e.g. Scrum, XP) Relational databases (e.g. SQL Server, MySQL) Atlassian tooling (e.g. JIRA, Confluence, and Github) Developing with modern JDK (v1.7+) Automated Testing: JUnit, Selenium, LoadRunner, SoapUI We offer a hybrid work setting, comprehensive compensation and healthcare packages, attractive paid time off, and organizational growth potential through our online learning platform with guided career tracks. Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference! Who is Equifax? At Equifax, we believe knowledge drives progress. As a global data, analytics and technology company, we play an essential role in the global economy by helping employers, employees, financial institutions and government agencies make critical decisions with greater confidence. We work to help create seamless and positive experiences during life’s pivotal moments: applying for jobs or a mortgage, financing an education or buying a car. Our impact is real and to accomplish our goals we focus on nurturing our people for career advancement and their learning and development, supporting our next generation of leaders, maintaining an inclusive and diverse work environment, and regularly engaging and recognizing our employees. Regardless of location or role, the individual and collective work of our employees makes a difference and we are looking for talented team players to join us as we help people live their financial best. Equifax is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Show more Show less

We are looking for a highly skilled and motivated Data Scientist with deep experience in building recommendation systems to join our team. This role demands expertise in deep learning, embedding-based retrieval, and the Google Cloud Platform (GCP). You will play a critical role in developing intelligent systems that enhance user experiences through personalized content discovery. Key Responsibilities: Develop, train, and deploy recommendation models using two-tower, multi-tower, and cross-encoder architectures . Generate and utilize text/image embeddings (e.g., CLIP , BERT , Sentence Transformers ) for content-based recommendations. Design semantic similarity search pipelines using vector databases (FAISS, ScaNN, Qdrant, Matching Engine). Create and manage scalable ML pipelines using Vertex AI , Kubeflow Pipelines , and GKE . Handle large-scale data preparation and feature engineering using Dataproc (PySpark) and Dataflow . Implement cold-start strategies leveraging metadata and multimodal embeddings. Work on user modeling , temporal personalization , and re-ranking strategies . Run A/B tests and interpret results to measure real-world impact. Collaborate with cross-functional teams (Engineering, Product, DevOps) for model deployment and monitoring. Must-Have Skills: Strong command of Python and ML libraries: pandas, polars, numpy, scikit-learn, matplotlib, tensorflow, torch, transformers. Deep understanding of modern recommender systems and embedding-based retrieval . Experience with TensorFlow , Keras , or PyTorch for building deep learning models. Hands-on with semantic search , ANN search , and real-time vector matching . Proven experience with Vertex AI , Kubeflow on GKE , and ML pipeline orchestration. Familiarity with vector DBs such as Qdrant , FAISS , ScaNN , or Matching Engine on GCP. Experience in deploying models via Vertex AI Online Prediction , TF Serving , or Cloud Run . Knowledge of feature stores , embedding versioning , and MLOps practices (CI/CD, monitoring). Preferred / Good to Have: Experience with ranking models (e.g., XGBoost , LightGBM , DLRM ) for candidate scoring. Exposure to LLM-powered personalization or hybrid retrieval systems. Familiarity with streaming pipelines using Pub/Sub , Dataflow , Cloud Functions . Hands-on with multi-modal retrieval (text + image + tabular data). Strong grasp of cold-start problem solving , using enriched metadata and embeddings. GCP Stack You’ll Work With: ML & Pipelines: Vertex AI, Vertex Pipelines, Kubeflow on GKE Embedding & Retrieval: Matching Engine, Qdrant, FAISS, ScaNN, Milvus Processing: Dataproc (PySpark), Dataflow Ingestion & Serving: Pub/Sub, Cloud Functions, Cloud Run, TF Serving CI/CD & Automation: GitHub Actions, GitLab CI, Terraform Show more Show less

Introduction We are looking for candidates with 10 +years of experience in data architect role. Responsibilities include: Design and implement scalable, secure, and cost-effective data architectures using GCP Lead the design and development of data pipelines with BigQuery, Dataflow, and Cloud Storage Architect and implement data lakes, data warehouses, and real-time data processing solutions on GCP Ensure data architecture aligns with business goals, governance, and compliance requirements Collaborate with stakeholders to define data strategy and roadmap Design and deploy BigQuery solutions for optimized performance and cost efficiency Build and maintain ETL/ELT pipelines for large-scale data processing Leverage Cloud Pub/Sub, Dataflow, and Cloud Functions for real-time data integration Implement best practices for data security, privacy, and compliance in cloud environments Integrate machine learning workflows with data pipelines and analytics tools Define data governance frameworks and manage data lineage Lead data modeling efforts to ensure consistency, accuracy, and performance across systems Optimize cloud infrastructure for scalability, performance, and reliability Mentor junior team members and ensure adherence to architectural standards Collaborate with DevOps teams to implement Infrastructure as Code (Terraform, Cloud Deployment Manager). Ensure high availability and disaster recovery solutions are built into data systems Conduct technical reviews, audits, and performance tuning for data solutions Design solutions for multi-region and multi-cloud data architecture Stay updated on emerging technologies and trends in data engineering and GCP Drive innovation in data architecture, recommending new tools and services on GCP Certifications : Google Cloud Certification is Preferred Primary Skills : 7+ years of experience in data architecture, with at least 3 years in GCP environments Expertise in BigQuery, Cloud Dataflow, Cloud Pub/Sub, Cloud Storage, and related GCP services Strong experience in data warehousing, data lakes, and real-time data pipelines Proficiency in SQL, Python, or other data processing languages Experience with cloud security, data governance, and compliance frameworks Strong problem-solving skills and ability to architect solutions for complex data environments Google Cloud Certification (Professional Data Engineer, Professional Cloud Architect) preferred Leadership experience and ability to mentor technical teams Excellent communication and collaboration skills Show more Show less

Introduction We are looking for candidates with 10 +years of experience in data architect role. Responsibilities include: Design and implement scalable, secure, and cost-effective data architectures using GCP Lead the design and development of data pipelines with BigQuery, Dataflow, and Cloud Storage Architect and implement data lakes, data warehouses, and real-time data processing solutions on GCP Ensure data architecture aligns with business goals, governance, and compliance requirements Collaborate with stakeholders to define data strategy and roadmap Design and deploy BigQuery solutions for optimized performance and cost efficiency Build and maintain ETL/ELT pipelines for large-scale data processing Leverage Cloud Pub/Sub, Dataflow, and Cloud Functions for real-time data integration Implement best practices for data security, privacy, and compliance in cloud environments Integrate machine learning workflows with data pipelines and analytics tools Define data governance frameworks and manage data lineage Lead data modeling efforts to ensure consistency, accuracy, and performance across systems Optimize cloud infrastructure for scalability, performance, and reliability Mentor junior team members and ensure adherence to architectural standards Collaborate with DevOps teams to implement Infrastructure as Code (Terraform, Cloud Deployment Manager). Ensure high availability and disaster recovery solutions are built into data systems Conduct technical reviews, audits, and performance tuning for data solutions Design solutions for multi-region and multi-cloud data architecture Stay updated on emerging technologies and trends in data engineering and GCP Drive innovation in data architecture, recommending new tools and services on GCP Certifications : Google Cloud Certification is Preferred Primary Skills : 7+ years of experience in data architecture, with at least 3 years in GCP environments Expertise in BigQuery, Cloud Dataflow, Cloud Pub/Sub, Cloud Storage, and related GCP services Strong experience in data warehousing, data lakes, and real-time data pipelines Proficiency in SQL, Python, or other data processing languages Experience with cloud security, data governance, and compliance frameworks Strong problem-solving skills and ability to architect solutions for complex data environments Google Cloud Certification (Professional Data Engineer, Professional Cloud Architect) preferred Leadership experience and ability to mentor technical teams Excellent communication and collaboration skills Show more Show less

Position: GCP Data Engineer Company Info: Prama (HQ : Chandler, AZ, USA) Prama specializes in AI-powered and Generative AI solutions for Data, Cloud, and APIs. We collaborate with businesses worldwide to develop platforms and AI-powered products that offer valuable insights and drive business growth. Our comprehensive services include architectural assessment, strategy development, and execution to create secure, reliable, and scalable systems. We are experts in creating innovative platforms for various industries. We help clients to overcome complex business challenges. Our team is dedicated to delivering cutting-edge solutions that elevate the digital experience for corporations. Prama is headquartered in Phoenix with offices in USA, Canada, Mexico, Brazil and India. Location: Bengaluru | Gurugram | Hybrid Benefits: 5 Day Working | Career Growth | Flexible working | Potential On-site Opportunity Kindly send your CV or Resume to careers@prama.ai Primary skills: GCP, PySpark, Python, SQL, ETL Job Description: We are seeking a highly skilled and motivated GCP Data Engineer to join our team. As a GCP Data Engineer, you will play a crucial role in designing, developing, and maintaining robust data pipelines and data warehousing solutions on the Google Cloud Platform (GCP). You will work closely with data analysts, data scientists, and other stakeholders to ensure the efficient collection, transformation, and analysis of large datasets. Responsibilities: · Design, develop, and maintain scalable data pipelines using GCP tools such as Dataflow, Dataproc, and Cloud Functions. · Implement ETL processes to extract, transform, and load data from various sources into BigQuery. · Optimize data pipelines for performance, cost-efficiency, and reliability. · Collaborate with data analysts and data scientists to understand their data needs and translate them into technical solutions. · Design and implement data warehouses and data marts using BigQuery. · Model and structure data for optimal performance and query efficiency. · Develop and maintain data quality checks and monitoring processes. · Use SQL and Python (PySpark) to analyze large datasets and generate insights. · Create visualizations using tools like Data Studio or Looker to communicate data findings effectively. · Manage and maintain GCP resources, including virtual machines, storage, and networking. · Implement best practices for security, cost optimization, and scalability. · Automate infrastructure provisioning and management using tools like Terraform. Qualifications: · Strong proficiency in SQL, Python, and PySpark. · Hands-on experience with GCP services, including BigQuery, Dataflow, Dataproc, Cloud Storage, and Cloud Functions. · Experience with data warehousing concepts and methodologies. · Understanding of data modeling techniques and best practices. · Strong analytical and problem-solving skills. · Excellent communication and collaboration skills. · Experience with data quality assurance and monitoring. · Knowledge of cloud security best practices. · A passion for data and a desire to learn new technologies. Preferred Qualifications: · Google Cloud Platform certification. · Experience with machine learning and AI. · Knowledge of data streaming technologies (Kafka, Pub/Sub). · Experience with data visualization tools (Looker, Tableau, Data Studio Job Type: Full-time Pay: ₹1,200,000.00 - ₹2,000,000.00 per year Benefits: Flexible schedule Health insurance Leave encashment Paid sick time Provident Fund Work from home Ability to commute/relocate: Gurugram, Haryana: Reliably commute or planning to relocate before starting work (Required) Application Question(s): CTC Expected CTC Notice Period (days) Experience in GCP Total Experience Work Location: Hybrid remote in Gurugram, Haryana

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you. You are passionate about quality and how customers experience the products you test. You have the ability to create, maintain and execute test plans in order to verify requirements. As a Quality Engineer at Equifax, you will be a catalyst in both the development and the testing of high priority initiatives. You will develop and test new products to support technology operations while maintaining exemplary standards. As a collaborative member of the team, you will deliver QA services (code quality, testing services, performance engineering, development collaboration and continuous integration). You will conduct quality control tests in order to ensure full compliance with specified standards and end user requirements. You will execute tests using established plans and scripts; documents problems in an issues log and retest to ensure problems are resolved. You will create test files to thoroughly test program logic and verify system flow. You will identify, recommend and implement changes to enhance effectiveness of QA strategies. What You Will Do Independently develop scalable and reliable automated tests and frameworks for testing software solutions. Specify and automate test scenarios and test data for a highly complex business by analyzing integration points, data flows, personas, authorization schemes and environments Develop regression suites, develop automation scenarios, and move automation to an agile continuous testing model. Pro-actively and collaboratively taking part in all testing related activities while establishing partnerships with key stakeholders in Product, Development/Engineering, and Technology Operations. What Experience You Need Bachelor's degree in a STEM major or equivalent experience 5-7 years of software testing experience Able to create and review test automation according to specifications Ability to write, debug, and troubleshoot code in Java, Springboot, TypeScript/JavaScript, HTML, CSS Creation and use of big data processing solutions using Dataflow/Apache Beam, Bigtable, BigQuery, PubSub, GCS, Composer/Airflow, and others with respect to software validation Created test strategies and plans Led complex testing efforts or projects Participated in Sprint Planning as the Test Lead Collaborated with Product Owners, SREs, Technical Architects to define testing strategies and plans. Design and development of micro services using Java, Springboot, GCP SDKs, GKE/Kubeneties Deploy and release software using Jenkins CI/CD pipelines, understand infrastructure-as-code concepts, Helm Charts, and Terraform constructs Cloud Certification Strongly Preferred What Could Set You Apart An ability to demonstrate successful performance of our Success Profile skills, including: Attention to Detail - Define test case candidates for automation that are outside of product specifications. i.e. Negative Testing; Create thorough and accurate documentation of all work including status updates to summarize project highlights; validating that processes operate properly and conform to standards Automation - Automate defined test cases and test suites per project Collaboration - Collaborate with Product Owners and development team to plan and and assist with user acceptance testing; Collaborate with product owners, development leads and architects on functional and non-functional test strategies and plans Execution - Develop scalable and reliable automated tests; Develop performance testing scripts to assure products are adhering to the documented SLO/SLI/SLAs; Specify the need for Test Data types for automated testing; Create automated tests and tests data for projects; Develop automated regression suites; Integrate automated regression tests into the CI/CD pipeline; Work with teams on E2E testing strategies and plans against multiple product integration points Quality Control - Perform defect analysis, in-depth technical root cause analysis, identifying trends and recommendations to resolve complex functional issues and process improvements; Analyzes results of functional and non-functional tests and make recommendation for improvements; Performance / Resilience: Understanding application and network architecture as inputs to create performance and resilience test strategies and plans for each product and platform. Conducting the performance and resilience testing to ensure the products meet SLAs / SLOs Quality Focus - Review test cases for complete functional coverage; Review quality section of Production Readiness Review for completeness; Recommend changes to existing testing methodologies for effectiveness and efficiency of product validation; Ensure communications are thorough and accurate for all work documentation including status and project updates Risk Mitigation - Work with Product Owners, QE and development team leads to track and determine prioritization of defects fixes We offer a hybrid work setting, comprehensive compensation and healthcare packages, attractive paid time off, and organizational growth potential through our online learning platform with guided career tracks. Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference! Who is Equifax? At Equifax, we believe knowledge drives progress. As a global data, analytics and technology company, we play an essential role in the global economy by helping employers, employees, financial institutions and government agencies make critical decisions with greater confidence. We work to help create seamless and positive experiences during life’s pivotal moments: applying for jobs or a mortgage, financing an education or buying a car. Our impact is real and to accomplish our goals we focus on nurturing our people for career advancement and their learning and development, supporting our next generation of leaders, maintaining an inclusive and diverse work environment, and regularly engaging and recognizing our employees. Regardless of location or role, the individual and collective work of our employees makes a difference and we are looking for talented team players to join us as we help people live their financial best. Equifax is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Show more Show less

You are passionate about quality and how customers experience the products you test. You have the ability to create, maintain and execute test plans in order to verify requirements. As a Quality Engineer at Equifax, you will be a catalyst in both the development and the testing of high priority initiatives. You will develop and test new products to support technology operations while maintaining exemplary standards. As a collaborative member of the team, you will deliver QA services (code quality, testing services, performance engineering, development collaboration and continuous integration). You will conduct quality control tests in order to ensure full compliance with specified standards and end user requirements. You will execute tests using established plans and scripts; documents problems in an issues log and retest to ensure problems are resolved. You will create test files to thoroughly test program logic and verify system flow. You will identify, recommend and implement changes to enhance effectiveness of QA strategies. What You Will Do Independently develop scalable and reliable automated tests and frameworks for testing software solutions. Specify and automate test scenarios and test data for a highly complex business by analyzing integration points, data flows, personas, authorization schemes and environments Develop regression suites, develop automation scenarios, and move automation to an agile continuous testing model. Pro-actively and collaboratively taking part in all testing related activities while establishing partnerships with key stakeholders in Product, Development/Engineering, and Technology Operations. What Experience You Need Bachelor's degree in a STEM major or equivalent experience 5-7 years of software testing experience Able to create and review test automation according to specifications Ability to write, debug, and troubleshoot code in Java, Springboot, TypeScript/JavaScript, HTML, CSS Creation and use of big data processing solutions using Dataflow/Apache Beam, Bigtable, BigQuery, PubSub, GCS, Composer/Airflow, and others with respect to software validation Created test strategies and plans Led complex testing efforts or projects Participated in Sprint Planning as the Test Lead Collaborated with Product Owners, SREs, Technical Architects to define testing strategies and plans. Design and development of micro services using Java, Springboot, GCP SDKs, GKE/Kubeneties Deploy and release software using Jenkins CI/CD pipelines, understand infrastructure-as-code concepts, Helm Charts, and Terraform constructs Cloud Certification Strongly Preferred What Could Set You Apart An ability to demonstrate successful performance of our Success Profile skills, including: Attention to Detail - Define test case candidates for automation that are outside of product specifications. i.e. Negative Testing; Create thorough and accurate documentation of all work including status updates to summarize project highlights; validating that processes operate properly and conform to standards Automation - Automate defined test cases and test suites per project Collaboration - Collaborate with Product Owners and development team to plan and and assist with user acceptance testing; Collaborate with product owners, development leads and architects on functional and non-functional test strategies and plans Execution - Develop scalable and reliable automated tests; Develop performance testing scripts to assure products are adhering to the documented SLO/SLI/SLAs; Specify the need for Test Data types for automated testing; Create automated tests and tests data for projects; Develop automated regression suites; Integrate automated regression tests into the CI/CD pipeline; Work with teams on E2E testing strategies and plans against multiple product integration points Quality Control - Perform defect analysis, in-depth technical root cause analysis, identifying trends and recommendations to resolve complex functional issues and process improvements; Analyzes results of functional and non-functional tests and make recommendation for improvements; Performance / Resilience: Understanding application and network architecture as inputs to create performance and resilience test strategies and plans for each product and platform. Conducting the performance and resilience testing to ensure the products meet SLAs / SLOs Quality Focus - Review test cases for complete functional coverage; Review quality section of Production Readiness Review for completeness; Recommend changes to existing testing methodologies for effectiveness and efficiency of product validation; Ensure communications are thorough and accurate for all work documentation including status and project updates Risk Mitigation - Work with Product Owners, QE and development team leads to track and determine prioritization of defects fixes Show more Show less

Job Description Job Description As a Technical Lead, you will be working on both offshore and onsite client projects. You will be working in projects which will involve Oracle BI Applications/ FAW or OBIEE/OAC/ ODI Implementation, You will be Interacting with client to understand and gather requirement You will be responsible for technical design, development, and system/integration testing using oracle methodologies Desired Profile End –to-end ODI, OAC and Oracle BI Applications/ FAW implementation experience Expert knowledge of BI Applications/ FAW including basic and advanced configurations with Oracle eBS suite/ Fusion as the source system Expert knowledge of OBIEE/OAC RPD design and reports design Expert knowledge ETL(ODI) design/ OCI DI/ OCI Dataflow Mandatory to have 1 of these skills : PLSQL/ BI Publisher/BI Apps Good to have EDQ, Pyspark skills Architectural Solution Definition Any Industry Standard Certifications will be a plus Good knowledge in Oracle database and development Experience in the database application. Creativity, Personal Drive, Influencing and Negotiating, Problem Solving Building Effective Relationships, Customer Focus, Effective Communication, Coaching Ready to travel as and when required by project Experience 8-12 yrs of Data warehousing and Business Intelligence project experience Having 4-6 years of project experience on BI Applications/ FAW and OBIEE/OAC/ ODI/ OCI DI with at least 2 complete lifecycle implementations 4-6 yrs of specialized BI Applications and OBIEE/OAC/ ODI/ OCI DI customization and solution architecture experience. Worked on Financial, SCM or HR Analytics recently in implementation and configuration Career Level - IC3 Responsibilities Job Description As a Technical Lead, you will be working on both offshore and onsite client projects. You will be working in projects which will involve Oracle BI Applications/ FAW or OBIEE/OAC/ ODI Implementation, You will be Interacting with client to understand and gather requirement You will be responsible for technical design, development, and system/integration testing using oracle methodologies Desired Profile End –to-end ODI, OAC and Oracle BI Applications/ FAW implementation experience Expert knowledge of BI Applications/ FAW including basic and advanced configurations with Oracle eBS suite/ Fusion as the source system Expert knowledge of OBIEE/OAC RPD design and reports design Expert knowledge ETL(ODI) design/ OCI DI/ OCI Dataflow Mandatory to have 1 of these skills : PLSQL/ BI Publisher/BI Apps Good to have EDQ, Pyspark skills Architectural Solution Definition Any Industry Standard Certifications will be a plus Good knowledge in Oracle database and development Experience in the database application. Creativity, Personal Drive, Influencing and Negotiating, Problem Solving Building Effective Relationships, Customer Focus, Effective Communication, Coaching Ready to travel as and when required by project Experience 8-12 yrs of Data warehousing and Business Intelligence project experience Having 4-6 years of project experience on BI Applications/ FAW and OBIEE/OAC/ ODI/ OCI DI with at least 2 complete lifecycle implementations 4-6 yrs of specialized BI Applications and OBIEE/OAC/ ODI/ OCI DI customization and solution architecture experience. Worked on Financial, SCM or HR Analytics recently in implementation and configuration About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less

Job Description: We are seeking an experienced Engineer with strong expertise in PostgreSQL, PL/SQL programming, and cloud-based data migration. The ideal candidate will have hands-on experience in migrating and tuning databases, particularly from Oracle to PostgreSQL on GCP (AlloyDB / Cloud SQL), and be skilled in modern data architecture and cloud services. Locations - Indore/Bengaluru/Noida Key Responsibilities Design, build, test, and maintain scalable data architectures on GCP. Lead Oracle to PostgreSQL data migration initiatives (preferably AlloyDB / Cloud SQL). Optimize PostgreSQL performance (e.g., tuning autovacuum, stored procedures). Translate Oracle PL/SQL code to PostgreSQL equivalents. Integrate hybrid data storage using GCP services (BigQuery, Firestore, MemoryStore, Spanner). Implement database job scheduling, disaster recovery, and logging. Work with GCP Dataflow, MongoDB, and data migration services. Mentor and lead database engineering teams. Required Technical Skills Advanced PostgreSQL & PL/SQL programming (queries, procedures, functions). Strong experience with database migration (Oracle ➝ PostgreSQL on GCP). Proficient in Cloud SQL, AlloyDB, and performance tuning. Hands-on experience with BigQuery, Firestore, Spanner, MemoryStore, MongoDB, Cloud Dataflow. Understanding of OLTP and OLAP systems. Desirable Qualifications GCP Database Engineer Certification Exposure to Enterprise Architecture, Project Delivery, and Performance Benchmarking Strong analytical, problem-solving, and leadership skills. Years Of Experience- 7 to 10 Years Education/Qualification- BE / B.Tech / MCA / M.Tech / M.Com Interested candidates can directly share their resume at anubhav.pathania@impetus.com Show more Show less

Roles and Responsibilities This role involves architect, designing end-to-end solutions and a blueprint for implementing/deployment of solutions based on Google Cloud Platform (GCP) to enhance operational efficiency and drive digital and Data transformation within the industrial & government sectors. Architect and Design scalable, secure, and cost-effective cloud solutions on GCP tailored to the needs of industrial & government sectors focused on Industrial Data lake and Analytics Provide expert-level guidance on cloud adoption, data migration strategies, and digital transformation projects specific to industrial & government sectors. Develop blueprints of implementation and deployment of GCP services, including compute, storage, networking, and data analytics, ensuring alignment with best practices and client requirements. Deliver technical and pre-sales services on the GCP cloud platform. Services and activities ranging from Data migration, End-to-End data pipelines, Data management, Sizing & Provisioning, and Implementation. Job Scope Full-time Cloud (GCP) Specialist/Consultant with a strong background in Make this secondary skillPresales and Technical services on the GCP Cloud platform. Develop scalable and secure data lake and data warehouse architectures using services like BigQuery, Cloud Storage, Dataproc, and Pub/Sub. But not limited to. Design and implement efficient data ingestion, transformation, and processing pipelines using Cloud Dataflow, Apache Beam, and Dataproc/Spark.But not limited to Design and implement data security and governance using IAM, VPC Service Controls, Cloud DLP, and integrate with data governance tools (e.g., Data Catalog). Building Technical solution proposals with solution architectures, sizing, and planning for prospective bids in the space of the GCP cloud platform. Grooming & Training internal and external technical & non-technical users of solutions and components in the GCP cloud platform. Create prototypes and demonstrate solutions on GCP platform (streaming ingestions, analytical products etc). Job Location - Bangalore Work model - Hybrid (Sunday (Work From Home) - Thursday (Work from office) Show more Show less

Company Description ThreatXIntel is a startup cyber security company dedicated to protecting businesses and organizations from cyber threats. Our services include cloud security, web and mobile security testing, cloud security assessment, and DevSecOps. We provide customized, affordable solutions tailored to meet the specific needs of our clients, regardless of their size. Role Description We are seeking a freelance GCP Data Engineer with expertise in Scala , Apache Spark , Airflow , and experience with Automic and Laminar frameworks. The role focuses on designing and maintaining scalable data pipelines and workflow automation within the Google Cloud Platform ecosystem. Key Responsibilities Design, build, and optimize data pipelines using Scala and Apache Spark on Google Cloud Platform (GCP) Orchestrate ETL workflows using Apache Airflow Integrate and automate data processing using Automic job scheduling Utilize Laminar for reactive programming or stream processing within pipelines (if applicable) Collaborate with cross-functional teams to define data flows and transformations Ensure pipeline performance, scalability, and monitoring across environments Troubleshoot and resolve issues in batch and streaming data processes Required Skills Strong programming skills in Scala Hands-on experience with Apache Spark for distributed data processing Experience working with GCP data services (e.g., BigQuery, Cloud Storage, Dataflow preferred) Proficiency with Airflow for workflow orchestration Experience using Automic for job scheduling Familiarity with Laminar or similar frameworks for reactive or stream-based processing Good understanding of data engineering best practices and pipeline optimization Ability to work independently and communicate effectively with remote teams Show more Show less

Job Description Job Description As a Technical Lead, you will be working on both offshore and onsite client projects. You will be working in projects which will involve Oracle BI Applications/ FAW or OBIEE/OAC/ ODI Implementation, You will be Interacting with client to understand and gather requirement You will be responsible for technical design, development, and system/integration testing using oracle methodologies Desired Profile End –to-end ODI, OAC and Oracle BI Applications/ FAW implementation experience Expert knowledge of BI Applications/ FAW including basic and advanced configurations with Oracle eBS suite/ Fusion as the source system Expert knowledge of OBIEE/OAC RPD design and reports design Expert knowledge ETL(ODI) design/ OCI DI/ OCI Dataflow Mandatory to have 1 of these skills : PLSQL/ BI Publisher/BI Apps Good to have EDQ, Pyspark skills Architectural Solution Definition Any Industry Standard Certifications will be a plus Good knowledge in Oracle database and development Experience in the database application. Creativity, Personal Drive, Influencing and Negotiating, Problem Solving Building Effective Relationships, Customer Focus, Effective Communication, Coaching Ready to travel as and when required by project Experience 8-12 yrs of Data warehousing and Business Intelligence project experience Having 4-6 years of project experience on BI Applications/ FAW and OBIEE/OAC/ ODI/ OCI DI with at least 2 complete lifecycle implementations 4-6 yrs of specialized BI Applications and OBIEE/OAC/ ODI/ OCI DI customization and solution architecture experience. Worked on Financial, SCM or HR Analytics recently in implementation and configuration Career Level - IC3 Responsibilities Job Description As a Technical Lead, you will be working on both offshore and onsite client projects. You will be working in projects which will involve Oracle BI Applications/ FAW or OBIEE/OAC/ ODI Implementation, You will be Interacting with client to understand and gather requirement You will be responsible for technical design, development, and system/integration testing using oracle methodologies Desired Profile End –to-end ODI, OAC and Oracle BI Applications/ FAW implementation experience Expert knowledge of BI Applications/ FAW including basic and advanced configurations with Oracle eBS suite/ Fusion as the source system Expert knowledge of OBIEE/OAC RPD design and reports design Expert knowledge ETL(ODI) design/ OCI DI/ OCI Dataflow Mandatory to have 1 of these skills : PLSQL/ BI Publisher/BI Apps Good to have EDQ, Pyspark skills Architectural Solution Definition Any Industry Standard Certifications will be a plus Good knowledge in Oracle database and development Experience in the database application. Creativity, Personal Drive, Influencing and Negotiating, Problem Solving Building Effective Relationships, Customer Focus, Effective Communication, Coaching Ready to travel as and when required by project Experience 8-12 yrs of Data warehousing and Business Intelligence project experience Having 4-6 years of project experience on BI Applications/ FAW and OBIEE/OAC/ ODI/ OCI DI with at least 2 complete lifecycle implementations 4-6 yrs of specialized BI Applications and OBIEE/OAC/ ODI/ OCI DI customization and solution architecture experience. Worked on Financial, SCM or HR Analytics recently in implementation and configuration About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less

Job Description Job Description As a Technical Lead, you will be working on both offshore and onsite client projects. You will be working in projects which will involve Oracle BI Applications/ FAW or OBIEE/OAC/ ODI Implementation, You will be Interacting with client to understand and gather requirement You will be responsible for technical design, development, and system/integration testing using oracle methodologies Desired Profile End –to-end ODI, OAC and Oracle BI Applications/ FAW implementation experience Expert knowledge of BI Applications/ FAW including basic and advanced configurations with Oracle eBS suite/ Fusion as the source system Expert knowledge of OBIEE/OAC RPD design and reports design Expert knowledge ETL(ODI) design/ OCI DI/ OCI Dataflow Mandatory to have 1 of these skills : PLSQL/ BI Publisher/BI Apps Good to have EDQ, Pyspark skills Architectural Solution Definition Any Industry Standard Certifications will be a plus Good knowledge in Oracle database and development Experience in the database application. Creativity, Personal Drive, Influencing and Negotiating, Problem Solving Building Effective Relationships, Customer Focus, Effective Communication, Coaching Ready to travel as and when required by project Experience 8-12 yrs of Data warehousing and Business Intelligence project experience Having 4-6 years of project experience on BI Applications/ FAW and OBIEE/OAC/ ODI/ OCI DI with at least 2 complete lifecycle implementations 4-6 yrs of specialized BI Applications and OBIEE/OAC/ ODI/ OCI DI customization and solution architecture experience. Worked on Financial, SCM or HR Analytics recently in implementation and configuration Career Level - IC3 Responsibilities Job Description As a Technical Lead, you will be working on both offshore and onsite client projects. You will be working in projects which will involve Oracle BI Applications/ FAW or OBIEE/OAC/ ODI Implementation, You will be Interacting with client to understand and gather requirement You will be responsible for technical design, development, and system/integration testing using oracle methodologies Desired Profile End –to-end ODI, OAC and Oracle BI Applications/ FAW implementation experience Expert knowledge of BI Applications/ FAW including basic and advanced configurations with Oracle eBS suite/ Fusion as the source system Expert knowledge of OBIEE/OAC RPD design and reports design Expert knowledge ETL(ODI) design/ OCI DI/ OCI Dataflow Mandatory to have 1 of these skills : PLSQL/ BI Publisher/BI Apps Good to have EDQ, Pyspark skills Architectural Solution Definition Any Industry Standard Certifications will be a plus Good knowledge in Oracle database and development Experience in the database application. Creativity, Personal Drive, Influencing and Negotiating, Problem Solving Building Effective Relationships, Customer Focus, Effective Communication, Coaching Ready to travel as and when required by project Experience 8-12 yrs of Data warehousing and Business Intelligence project experience Having 4-6 years of project experience on BI Applications/ FAW and OBIEE/OAC/ ODI/ OCI DI with at least 2 complete lifecycle implementations 4-6 yrs of specialized BI Applications and OBIEE/OAC/ ODI/ OCI DI customization and solution architecture experience. Worked on Financial, SCM or HR Analytics recently in implementation and configuration About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less

Job Description Job Description As a Technical Lead, you will be working on both offshore and onsite client projects. You will be working in projects which will involve Oracle BI Applications/ FAW or OBIEE/OAC/ ODI Implementation, You will be Interacting with client to understand and gather requirement You will be responsible for technical design, development, and system/integration testing using oracle methodologies Desired Profile End –to-end ODI, OAC and Oracle BI Applications/ FAW implementation experience Expert knowledge of BI Applications/ FAW including basic and advanced configurations with Oracle eBS suite/ Fusion as the source system Expert knowledge of OBIEE/OAC RPD design and reports design Expert knowledge ETL(ODI) design/ OCI DI/ OCI Dataflow Mandatory to have 1 of these skills : PLSQL/ BI Publisher/BI Apps Good to have EDQ, Pyspark skills Architectural Solution Definition Any Industry Standard Certifications will be a plus Good knowledge in Oracle database and development Experience in the database application. Creativity, Personal Drive, Influencing and Negotiating, Problem Solving Building Effective Relationships, Customer Focus, Effective Communication, Coaching Ready to travel as and when required by project Experience 8-12 yrs of Data warehousing and Business Intelligence project experience Having 4-6 years of project experience on BI Applications/ FAW and OBIEE/OAC/ ODI/ OCI DI with at least 2 complete lifecycle implementations 4-6 yrs of specialized BI Applications and OBIEE/OAC/ ODI/ OCI DI customization and solution architecture experience. Worked on Financial, SCM or HR Analytics recently in implementation and configuration Career Level - IC3 Responsibilities Job Description As a Technical Lead, you will be working on both offshore and onsite client projects. You will be working in projects which will involve Oracle BI Applications/ FAW or OBIEE/OAC/ ODI Implementation, You will be Interacting with client to understand and gather requirement You will be responsible for technical design, development, and system/integration testing using oracle methodologies Desired Profile End –to-end ODI, OAC and Oracle BI Applications/ FAW implementation experience Expert knowledge of BI Applications/ FAW including basic and advanced configurations with Oracle eBS suite/ Fusion as the source system Expert knowledge of OBIEE/OAC RPD design and reports design Expert knowledge ETL(ODI) design/ OCI DI/ OCI Dataflow Mandatory to have 1 of these skills : PLSQL/ BI Publisher/BI Apps Good to have EDQ, Pyspark skills Architectural Solution Definition Any Industry Standard Certifications will be a plus Good knowledge in Oracle database and development Experience in the database application. Creativity, Personal Drive, Influencing and Negotiating, Problem Solving Building Effective Relationships, Customer Focus, Effective Communication, Coaching Ready to travel as and when required by project Experience 8-12 yrs of Data warehousing and Business Intelligence project experience Having 4-6 years of project experience on BI Applications/ FAW and OBIEE/OAC/ ODI/ OCI DI with at least 2 complete lifecycle implementations 4-6 yrs of specialized BI Applications and OBIEE/OAC/ ODI/ OCI DI customization and solution architecture experience. Worked on Financial, SCM or HR Analytics recently in implementation and configuration About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less

We are looking to hire Data engineer for the Platform Engineering team. It is a collection of highly skilled individuals ranging from development to operations with a security first mindset who strive to push the boundaries of technology. We champion a DevSecOps culture and raise the bar on how and when we deploy applications to production. Our core principals are centered around automation, testing, quality, and immutability all via code. The role is responsible for building self-service capabilities that improve our security posture, productivity, and reduce time to market with automation at the core of these objectives.The individual collaborates with teams across the organization to ensure applications are designed for Continuous Delivery (CD) and are well-architected for their targeted platform which can be on-premise or the cloud. If you are passionate about developer productivity, cloud native applications, and container orchestration, this job is for you! Principal Accountabilities The incumbent is mentored by senior individuals on the team to capture the flow and bottlenecks in the holistic IT delivery process and define future tool sets Skills And Software Requirements Experience with a language such as Python, Go,SQL, Java, or Scala GCP data services (BigQuery; Dataflow; Dataproc; Cloud Composer; Pub/Sub; Google Cloud Storage; IAM) Experience with Jenkins, Maven, Git, Ansible, or CHEF Experience working with containers, orchestration tools (like Kubernetes, Mesos, Docker Swarm etc.) and container registries (GCE, Docker hub etc.) Experience with [SPI]aaS- Software-as-a-Service, Platform-as-a-Service, or Infrastructure-as- a-Service Acquire, cleanse, and ingest structured and unstructured data on the cloud Combine data from disparate sources in to a single, unified, authoritative view of data (e.g., Data Lake) Enable and support data movement from one system / service to another system / service Experience implementing or supporting automated solutions to technical problems Experience working in a team environment, proactively executing on tasks while meeting agreed delivery timelines Ability to contribute to effective and timely solutions Excellent oral and written communication skills CME Group: Where Futures are Made CME Group is the world’s leading derivatives marketplace. But who we are goes deeper than that. Here, you can impact markets worldwide. Transform industries. And build a career by shaping tomorrow. We invest in your success and you own it – all while working alongside a team of leading experts who inspire you in ways big and small. Problem solvers, difference makers, trailblazers. Those are our people. And we’re looking for more. At CME Group, we embrace our employees' unique experiences and skills to ensure that everyone’s perspectives are acknowledged and valued. As an equal-opportunity employer, we consider all potential employees without regard to any protected characteristic. Important Notice: Recruitment fraud is on the rise, with scammers using misleading promises of job offers and interviews to solicit money and personal information from job seekers. CME Group adheres to established procedures designed to maintain trust, confidence and security throughout our recruitment process. Learn more here. Show more Show less

Minimum qualifications: Bachelor’s degree or equivalent practical experience. 5 years of experience with software development in one or more programming languages, and with data structures/algorithms. 3 years of experience testing, maintaining, or launching software products. 1 year of experience with software design and architecture. 1 year of experience in generative AI and machine learning. 1 year of experience implementing core AI/ML concepts. Preferred qualifications: Master's degree or PhD in Computer Science, or a related technical field. 1 year of experience in a technical leadership role. Experience with Python, Notebooks, ML Frameworks (e.g., Tensorflow). Experience in large-scale data systems. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. In this role, you will be responsible for designing and developing next-generation software systems at the intersection of data analytics (data warehousing, business intelligence, spark, dataflow, data catalog, and more) and generative AI. You will work closely with our team of experts to research, explore and develop innovative solutions that will bring generative AI to the forefront of Google Cloud Platform (GCP) Data Analytics for our customers. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Write and test product or system development code. Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,) Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. Design and implement solutions in one or more specialized Machine Learning (ML) areas, leverage ML infrastructure, and demonstrate experience in a chosen field. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

You Lead the Way. We’ve Got Your Back. With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally. At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong. As part of our diverse tech team, you can architect, code and ship software that makes us an essential part of our customers’ digital lives. Here, you can work alongside talented engineers in an open, supportive, inclusive environment where your voice is valued, and you make your own decisions on what tech to use to solve challenging problems. Amex offers a range of opportunities to work with the latest technologies and encourages you to back the broader engineering community through open source. And because we understand the importance of keeping your skills fresh and relevant, we give you dedicated time to invest in your professional development. Find your place in technology on #TeamAmex. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. How will you make an impact in this role? This role will be part of the Regulatory Reporting team , we are currently modernizing our platform , migrating it to GCP. You will contribute towards making the platform more resilient and secure for future regulatory requirements and ensuring compliance and adherence to Federal Regulations. Minimum Qualifications: - 5-8 years of overall technology experience - Strong expertise with handling large volumes of data coming from many different disparate systems - Strong expertise with Python and Py Spark - Working knowledge of Apache Spark , Airflow, GCP BQ and Data Proc open source data processing platforms - Working knowledge of databases and performance tuning for complex big data scenarios - Oracle DB and In Memory Processing - Cloud Deployments , CI/CD and Platform Resiliency - Strong experience with SRE practices , GIT Hub Automation , best practices around code coverage and documentation automation - Good experience with Mvel - Excellent communication skills , collaboration mindset and ability to work through unknowns Preferred Qualifications: - Understanding of Regulatory and Compliance Reports preferred - Experience with React, Node JS - Experience with GCP - Big Query and Data Flow , Data Migration to Bug Query and usage of CloudSQL We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations. Show more Show less

Associate - Production Support Engineer Job ID: R0388741 Full/Part-Time: Full-time Regular/Temporary: Regular Listed: 2025-06-12 Location: Bangalore Position Overview Job Title: Associate - Production Support Engineer Location: Bangalore, India Role Description You will be operating within Corporate Bank Production as an Associate, Production Support Engineer in the Corporate Banking subdivisions. You will be accountable to drive a culture of proactive continual improvement into the Production environment through application, user request support, troubleshooting and resolving the errors in production environment. Automation of manual work, monitoring improvements and platform hygiene. Supporting the resolution of issues and conflicts and preparing reports and meetings. Candidate should have experience in all relevant tools used in the Service Operations environment and has specialist expertise in one or more technical domains and ensures that all associated Service Operations stakeholders are provided with an optimum level of service in line with Service Level Agreements (SLAs) / Operating Level Agreements (OLAs). Ensure all the BAU support queries from business are handled on priority and within agreed SLA and also to ensure all application stability issues are well taken care off. Support the resolution of incidents and problems within the team. Assist with the resolution of complex incidents. Ensure that the right problem-solving techniques and processes are applied Embrace a Continuous Service Improvement approach to resolve IT failings, drive efficiencies and remove repetition to streamline support activities, reduce risk, and improve system availability. Be responsible for your own engineering delivery plus, using data and analytics, drive a reduction in technical debt across the production environment with development and infrastructure teams. Act as a Production Engineering role model to enhance the technical capability of the Production Support teams to create a future operating model embedded with engineering culture. Deutsche Bank’s Corporate Bank division is a leading provider of cash management, trade finance and securities finance. We complete green-field projects that deliver the best Corporate Bank - Securities Services products in the world. Our team is diverse, international, and driven by shared focus on clean code and valued delivery. At every level, agile minds are rewarded with competitive pay, support, and opportunities to excel. You will work as part of a cross-functional agile delivery team. You will bring an innovative approach to software development, focusing on using the latest technologies and practices, as part of a relentless focus on business value. You will be someone who sees engineering as team activity, with a predisposition to open code, open discussion and creating a supportive, collaborative environment. You will be ready to contribute to all stages of software delivery, from initial analysis right through to production support." What we’ll offer you As part of our flexible scheme, here are just some of the benefits that you’ll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities Lead by example to drive a culture of proactive continual improvement into the Production environment through automation of manual work, monitoring improvements and platform hygiene. Carry out technical analysis of the Production platform to identify and remediate performance and resiliency issues. Engage in the Software Development Lifecycle (SDLC) to enhance Production Standards and controls. Update the RUN Book and KEDB as & when required Participate in all BCP and component failure tests based on the run books Understand flow of data through the application infrastructure. It is critical to understand the dataflow to best provide operational support Event monitoring and management via a 24x7 workbench that is both monitoring and regularly probing the service environment and acting on instruction of the run book. Drive knowledge management across the supported applications and ensure full compliance Works with team members to identify areas of focus, where training may improve team performance, and improve incident resolution. Your skills and experience Recent experience of applying technical solutions to improve the stability of production environments Working experience of some of the following technology skills: Technologies/Frameworks: Unix, Shell Scripting and/or Python SQL Stack Oracle 12c/19c - for pl/sql, familiarity with OEM tooling to review AWR reports and parameters ITIL v3 Certified (must) Control-M, CRON scheduling MQ- DBUS, IBM JAVA 8/OpenJDK 11 (at least) - for debugging Familiarity with Spring Boot framework Data Streaming – Kafka (Experience with Confluent flavor a plus) and ZooKeeper Hadoop framework Configuration Mgmt Tooling: Ansible Operating System/Platform: RHEL 7.x (preferred), RHEL6.x OpenShift (as we move towards Cloud computing and the fact that Fabric is dependent on OpenShift) CI/CD: Jenkins (preferred) APM Tooling: either or one of Splunk AppDynamics Geneos NewRelic Other platforms: Scheduling – Ctrl-M is a plus, Autosys, etc Search – Elastic Search and/or Solr+ is a plus Methodology: Micro-services architecture SDLC Agile Fundamental Network topology – TCP, LAN, VPN, GSLB, GTM, etc Familiarity with TDD and/or BDD Distributed systems Experience on cloud platforms such as Azure, GCP is a plus Familiarity with containerization/Kubernetes Tools: ServiceNow Jira Confluence BitBucket and/or GIT IntelliJ SQL Plus Familiarity with simple Unix Tooling – putty, mPutty, exceed (PL/)SQL Developer Good understanding of ITIL Service Management framework such as Incident, Problem, and Change processes. Ability to self-manage a book of work and ensure clear transparency on progress with clear, timely, communication of issues. Excellent communication skills, both written and verbal, with attention to detail. Ability to work in Follow the Sun model, virtual teams and in matrix structure Service Operations experience within a global operations context 6-9 yrs experience in IT in large corporate environments, specifically in the area of controlled production environments or in Financial Services Technology in a client-facing function Global Transaction Banking Experience is a plus. Experience of end-to-end Level 2,3,4 management and good overview of Production/Operations Management overall Experience of run-book execution Experience of supporting complex application and infrastructure domains Good analytical, troubleshooting and problem-solving skills Working knowledge of incident tracking tools (i.e., Remedy, Heat etc.) How we’ll support you Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

Senior Software Developer, Chennai, India. About the Job: Developers at Vendasta work in teams, working with Product Managers and Designers in the creation of new features and products. Our Research and Development department works hard to help developers learn, grow, and experiment while at work. With a group of over 100 developers, we have fostered an environment that provides developers with the opportunity to continuously learn from each other. The ideal candidate will demonstrate that they are bright and can tackle tough problems while being able to communicate their solution to others. They are creative and can mix technology with the customer’s problems to find the right solution. Lastly, they are driven and will motivate themselves and others to get things done. As an experienced Software Developer, we expect that you will grow into a thought leader at Vendasta, driving better results across our development organization. Your Impact: Develop software in teams of 3-5 developers, with the ability to take on tasks for the team and independently work on them to completion. Follow best practices to write clean, maintainable, scalable, and tested software. Contribute to the best engineering practices, including the use of design patterns, CI/CD, maintainable and scalable code, code review, and automated tests. Provide inputs for a technical roadmap for the Product Area. Ensure that the NFRs and technical debt get their due focus. Work collaboratively with Product Managers to design solutions (including technical roadmap) that help our Partners connect digital solutions to small and medium-sized businesses. Analyzing and improving current system integrations and migration strategies. Interact and collaborate with our high-quality technical team across India and Canada What You Bring to the Table: 8+ years experience in a related field with at least 3+ years as full stack developer in an architect or senior development role Experience or strong understanding of high scalability, data-intensive, distributed Internet applications Software development experience including building distributed, microservice-style and cloud-based application architectures Proficiency in modern software language, and willingness to quickly learn our technology stack Preference will be given to candidates with a strong Go (programming language) experience, and who can demonstrate the ability to build and adapt web applications using Angular. Experience in designing, Building and Implementing cloud-native architectures (GCP preferred). Experience working with the Scrum framework Technologies We Use: Cloud Native Computing using Google Cloud Platform BigQuery, Cloud Dataflow, Cloud Pub/Sub, Google Data Studio, Cloud IAM, Cloud Storage, Cloud SQL, Cloud Spanner, Cloud Datastore, Google Maps Platform, Stackdriver, etc.… We have been invited to join the Early Access Program on quite a few GCP technologies. GoLang, Typescript, Python, JavaScript, HTML, Angular, GRPC, Kubernetes Elasticsearch, MySQL, PostgreSQL About Vendasta: So what do we do? We create an entire platform full of digital products & solutions that help small to medium-sized businesses (SMBs) have a stronger presence online through digital advertising, online listings, reputation management, website creation, social media marketing … and much more! Our platform is used exclusively by channel partners, who sell products and services to SMBs, allowing them to leverage us to scale and grow their business. We are trusted by 65,000+ channel partners, serving over 6 million SMBs worldwide! Perks: Stock options (as per policy) Benefits - Health insurance Paid time off Public transport reimbursement Flex days Training & Career Development - Professional development plans, leadership workshops, mentorship programs, and more! Free Snacks, hot beverages, and catered lunches on Fridays Culture - comprised of our core values: Drive, Innovation, Respect, and Agility Provident Fund