366 Neo4J Jobs - Page 4

Position Overview ABOUT APOLLO Apollo is a high-growth, global alternative asset manager. In our asset management business, we seek to provide our clients excess return at every point along the risk-reward spectrum from investment grade to private equity with a focus on three investing strategies: yield, hybrid, and equity. For more than three decades, our investing expertise across our fully integrated platform has served the financial return needs of our clients and provided businesses with innovative capital solutions for growth. Through Athene, our retirement services business, we specialize in helping clients achieve financial security by providing a suite of retirement savings products and acting as a solutions provider to institutions. Our patient, creative, and knowledgeable approach to investing aligns our clients, businesses we invest in, our employees, and the communities we impact, to expand opportunity and achieve positive outcomes. OUR PURPOSE AND CORE VALUES Our Clients Rely On Our Investment Acumen To Help Secure Their Future. We Must Never Lose Our Focus And Determination To Be The Best Investors And Most Trusted Partners On Their Behalf. We Strive To Be The leading provider of retirement income solutions to institutions, companies, and individuals. The leading provider of capital solutions to companies. Our breadth and scale enable us to deliver capital for even the largest projects – and our small firm mindset ensures we will be a thoughtful and dedicated partner to these organizations. We are committed to helping them build stronger businesses. A leading contributor to addressing some of the biggest issues facing the world today – such as energy transition, accelerating the adoption of new technologies, and social impact – where innovative approaches to investing can make a positive difference. We are building a unique firm of extraordinary colleagues who: Outperform expectations. Challenge Convention Champion Opportunity Lead responsibly. Drive collaboration As One Apollo team, we believe that doing great work and having fun go hand in hand, and we are proud of what we can achieve together. Our Benefits Apollo relies on its people to keep it a leader in alternative investment management, and the firm’s benefit programs are crafted to offer meaningful coverage for both you and your family. Please reach out to your Human Capital Business Partner for more detailed information on specific benefits. Position Overview At Apollo, we are a global team of alternative investment managers passionate about delivering uncommon value to our investors and shareholders. With over 30 years of proven expertise across Private Equity, Credit, and Real Assets in various regions and industries, we are known for our integrated businesses, our strong investment performance, our value-oriented philosophy, and our people. We seek a Senior Engineer/Full Stack Developer to innovate, manage, direct, architect, design, and implement solutions focused on our trade operations and controller functions across Private Equity, Credit, and Real Assets. The ideal candidate is a well-rounded hands-on engineer passionate about delivering quality software on the Java stack. Our Senior Engineer will work closely with key stakeholders in our Middle Office and Controllers teams and in the Credit and Opportunistic Technology teams to successfully deliver business requirements, projects, and programs. The candidate will have proven skills in independently managing the full software development lifecycle, working with end-users, business analysts, and project managers in defining and refining the problem statement, and delivering quality solutions on time. They will have the aptitude to quickly learn and embrace emerging technologies and proven methodologies to innovate and improve the correctness, quality, and timeliness of solutions delivered by the team. Primary Responsibilities Design elegant solutions for systems that result in simple, extensible, maintainable, high-quality. Provide hands-on technical expertise in architecture, design, development, code reviews, quality assurance, observability, and product support. Use technical knowledge of product design, patterns, and code to identify risks and prevent software defects. Mentor and nurture other team members on doing the above listed at quality. Foster a culture of collaboration, disciplined software engineering practices, and a mindset to leave things better than you found them. Optimize team processes to improve productivity and responsiveness to feedback and changing priorities. Build strong relationships with key stakeholders, collaborate, and communicate effectively to reach successful outcomes. Passionate about delivering high-impact and breakthrough value to stakeholders. Desire to learn the domain and deliver enterprise solutions with at a higher velocity. Manage deliverables from early stages of requirement gathering through development, testing, UAT, deployment and post-production Lead in the planning, execution, and delivery of the team’s commitments. Qualifications & Experience Qualifications & Experience: Master’s or bachelor’s degree in Computer Science or another STEM field Experience with software development in the Alternative Asset Management or Investment Banking domain 8+ years of software development experience in at least one of the following OO languages: Java, C++, or C# 5+ years of Web 2.0 UI/UX development experience in at least one of the following frameworks using JavaScript/TypeScript: ExtJS, ReactJS, AngularJS, or Vue. Hands-on development expertise in Java, Spring Boot, REST, Messaging, JPA, and SQL for the last 4+ years Hands-on development expertise in building applications using RESTful and Microservices architecture Expertise in developing applications using TDD/BDD/ATDD with hands-on experience with at least one of Junit, Spring Test, TestNG, or Cucumber A strong understanding of SOLID principles, Design Patterns, Enterprise Integration Patterns A strong understanding of relational databases, SQL, ER modeling, and ORM technologies A strong understanding of BPM and its application Hands-on experience with various CI/CD practices and tools such as Jenkins, Azure DevOps, TeamCity, etcetera Exceptional problem-solving & debugging skills. Awareness of emerging application development methodologies, design patterns, and technologies. Ability to quickly learn new and emerging technologies and adopt solutions from within the company or the open-source community. Experience with the below will be a plus Buy-side operational and fund accounting processes Business processes and workflows using modern BPM/Low Code/No Code platforms (JBPM, Bonitasoft, Appian, Logic Apps, Unqork, etcetera…) OpenAPI, GraphQL, gRPC, ESB, SOAP, WCF, Kafka, and Node Serverless architecture Microsoft Azure Designing and implementing microservices on AKS Azure DevOps Sencha platform NoSQL databases (MongoDB, Cosmos DB, Neo4J) Python software development Functional programming paradigm Apollo provides equal employment opportunities regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, color, nationality, ethnic or national origin, religion or belief, veteran status, gender/sex or sexual orientation, or any other criterion or circumstance protected by applicable law, ordinance, or regulation. The above criteria are intended to be used as a guide only – candidates who do not meet all the above criteria may still be considered if they are deemed to have relevant experience/ equivalent levels of skill or knowledge to fulfil the requirements of the role. Any job offer will be conditional upon and subject to satisfactory reference and background screening checks, all necessary corporate and regulatory approvals or certifications as required from time to time and entering into definitive contractual documentation satisfactory to Apollo. Show more Show less

YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation. At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future. We are looking forward to hire AI/ML Professionals in the following areas : Designation: Sr. Data Scientist Experience: 4–8 Years Job Type: Full-time We are seeking a highly skilled and motivated Senior Data Scientist to join our dynamic team. In this role, you will leverage your advanced analytical and technical expertise to solve complex business problems and drive impactful data-driven decisions. You will design, develop, and deploy sophisticated machine learning models, conduct in-depth data analyses, and collaborate with cross-functional teams to deliver actionable insights. Responsibilities Design and implement RAG pipelines using LangChain and LangGraph. Integrate AWS Open Source Vector Databases (e.g., OpenSearch with KNN plugin). Handle complex query chaining, prompt orchestration. Work with graph-based knowledge representations (e.g., Neo4j, Stardog). Collaborate with teams to deliver scalable GenAI solutions. Required Skills Proficiency in LLMs, LangChain, and embeddings. Strong background in classification, regression, clustering, and NLP. Knowledge of AWS and DevOps (Docker, Git). Hands-on with FastAPI, model deployment workflows. At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale. Our Hyperlearning workplace is grounded upon four principles Flexible work arrangements, Free spirit, and emotional positivity Agile self-determination, trust, transparency, and open collaboration All Support needed for the realization of business goals, Stable employment with a great atmosphere and ethical corporate culture Show more Show less

Job Title-Principal SDE Exp-8+ Years Location-Remote Responsibilities Principal SDE At Shakudo, we’re building the world’s first operating system for data and AI—a unified platform that streamlines powerful open-source and proprietary tools into a seamless, production-ready environment. We’re looking for a Principal Software Development Engineer to lead the development of full end-to-end applications on our platform. This role is ideal for engineers who love solving real customer problems, moving across the stack, and delivering high-impact solutions that showcase what’s possible on Shakudo. What You’ll Do • Design and build complete applications—from backend to frontend—using Shakudo and open-source tools like Neo4J, ollama, Spark, and many more • Solve real-world data and AI challenges with elegant, production-ready solutions • Collaborate with Product and Customer Engineering to translate needs into scalable systems • Drive architecture and design patterns for building on Shakudo—with high autonomy and self-direction • Set the standard for building efficient, reusable, and impactful solutions What You Bring • 8+ years building production systems across the stack • Strong backend and frontend experience (e.g. Python, React, TypeScript) • Familiarity with cloud infrastructure, Kubernetes, and data/AI tooling • A hands-on, solutions-first mindset and a passion for fast, high-quality delivery Why This Role You’ll lead by example, building flagship applications that demonstrate the power of Shakudo. This role offers high ownership, high impact, and the chance to shape how modern data and AI solutions are built. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. RCE_Risk Data Engineer/Leads Description – External Job Description: - Our Technology team builds innovative digital solutions rapidly and at scale to deliver the next generation of Financial and Non- Financial services across the globe. The Position is a senior technical, hands-on delivery role, requiring the knowledge of data engineering, cloud infrastructure and platform engineering, platform operations and production support using ground-breaking cloud and big data technologies. The ideal candidate with 3-6 years of relevant experience, will possess strong technical skills, an eagerness to learn, a keen interest on 3 keys pillars that our team support i.e. Financial Crime, Financial Risk and Compliance technology transformation, the ability to work collaboratively in fast-paced environment, and an aptitude for picking up new tools and techniques on the job, building on existing skillsets as a foundation. In this role you will: Ingestion and provisioning of raw datasets, enriched tables, and/or curated, re-usable data assets to enable variety of use cases. Driving improvements in the reliability and frequency of data ingestion including increasing real-time coverage Support and enhancement of data ingestion infrastructure and pipelines. Designing and implementing data pipelines that will collect data from disparate sources across enterprise, and from external sources and deliver it to our data platform. Extract Transform and Load (ETL) workflows, using both advanced data manipulation tools and programmatically manipulation data throughout our data flows, ensuring data is available at each stage in the data flow, and in the form needed for each system, service and customer along said data flow. Identifying and onboarding data sources using existing schemas and where required, conduction exploratory data analysis to investigate and provide solutions. Evaluate modern technologies, frameworks, and tools in the data engineering space to drive innovation and improve data processing capabilities. Core/Must Have Skills. 3-8 years of expertise in designing and implementing data warehouses, data lakes using Oracle Tech Stack (DB: PLSQL) At least 4+ years of experience in Database Design and Dimension modelling using Oracle PLSQL. Should be experience of working PLSQL advanced concepts like ( Materialized views, Global temporary tables, Partitions, PLSQL Packages) Experience in SQL tuning, Tuning of PLSQL solutions, Physical optimization of databases. Experience in writing and tuning SQL scripts including- tables, views, indexes and Complex PLSQL objects including procedures, functions, triggers and packages in Oracle Database 11g or higher. Experience in developing ETL processes – ETL control tables, error logging, auditing, data quality etc. Should be able to implement reusability, parameterization workflow design etc. Advanced working SQL Knowledge and experience working with relational and NoSQL databases as well as working familiarity with a variety of databases (Oracle, SQL Server, Neo4J) Strong analytical and critical thinking skills, with ability to identify and resolve issues in data pipelines and systems. Strong understanding of ETL methodologies and best practices. Collaborate with cross-functional teams to ensure successful implementation of solutions. Experience with OLAP, OLTP databases, and data structuring/modelling with understanding of key data points. Good to have: Experience of working in Financial Crime, Financial Risk and Compliance technology transformation domains. Certification on any cloud tech stack. Experience building and optimizing data pipelines on AWS glue or Oracle cloud. Design and development of systems for the maintenance of the Azure/AWS Lakehouse, ETL process, business Intelligence and data ingestion pipelines for AI/ML use cases. Experience with data visualization (Power BI/Tableau) and SSRS. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

About Fusemachines Fusemachines is a 10+ year old AI company, dedicated to delivering state-of-the-art AI products and solutions to a diverse range of industries. Founded by Sameer Maskey, Ph.D., an Adjunct Associate Professor at Columbia University, our company is on a steadfast mission to democratize AI and harness the power of global AI talent from underserved communities. With a robust presence in four countries and a dedicated team of over 400 full-time employees, we are committed to fostering AI transformation journeys for businesses worldwide. At Fusemachines, we not only bridge the gap between AI advancement and its global impact but also strive to deliver the most advanced technology solutions to the world. About The Role This is a remote full-time contractual position , working in the Travel & Hospitality Industry , responsible for designing, building, testing, optimizing and maintaining the infrastructure and code required for data integration, storage, processing, pipelines and analytics (BI, visualization and Advanced Analytics) from ingestion to consumption, implementing data flow controls, and ensuring high data quality and accessibility for analytics and business intelligence purposes. This role requires a strong foundation in programming and a keen understanding of how to integrate and manage data effectively across various storage systems and technologies. We're looking for someone who can quickly ramp up, contribute right away and work independently as well as with junior team members with minimal oversight. We are looking for a skilled Sr. Data Engineer with a strong background in Python , SQL , Pyspark , Redshift, and AWS cloud-based large-scale data solutions with a passion for data quality, performance and cost optimization. The ideal candidate will develop in an Agile environment. This role is perfect for an individual passionate about leveraging data to drive insights, improve decision-making, and support the strategic goals of the organization through innovative data engineering solutions. Qualification / Skill Set Requirement: Must have a full-time Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field 5+ years of real-world data engineering development experience in AWS (certifications preferred). Strong expertise in Python, SQL, PySpark and AWS in an Agile environment, with a proven track record of building and optimizing data pipelines, architectures, and datasets, and proven experience in data storage, modelling, management, lake, warehousing, processing/transformation, integration, cleansing, validation and analytics A senior person who can understand requirements and design end-to-end solutions with minimal oversight Strong programming Skills in one or more languages such as Python, Scala, and proficient in writing efficient and optimized code for data integration, storage, processing and manipulation Strong knowledge SDLC tools and technologies, including project management software (Jira or similar), source code management (GitHub or similar), CI/CD system (GitHub actions, AWS CodeBuild or similar) and binary repository manager (AWS CodeArtifact or similar) Good understanding of Data Modelling and Database Design Principles. Being able to design and implement efficient database schemas that meet the requirements of the data architecture to support data solutions Strong SQL skills and experience working with complex data sets, Enterprise Data Warehouse and writing advanced SQL queries. Proficient with Relational Databases (RDS, MySQL, Postgres, or similar) and NonSQL Databases (Cassandra, MongoDB, Neo4j, etc.) Skilled in Data Integration from different sources such as APIs, databases, flat files, and event streaming Strong experience in implementing data pipelines and efficient ELT/ETL processes, batch and real-time, in AWS and using open source solutions, being able to develop custom integration solutions as needed, including Data Integration from different sources such as APIs (PoS integrations is a plus), ERP (Oracle and Allegra are a plus), databases, flat files, Apache Parquet, event streaming, including cleansing, transformation and validation of the data Strong experience with scalable and distributed Data Technologies such as Spark/PySpark, DBT and Kafka, to be able to handle large volumes of data Experience with stream-processing systems: Storm, Spark-Streaming, etc. is a plus Strong experience in designing and implementing Data Warehousing solutions in AWS with Redshift. Demonstrated experience in designing and implementing efficient ELT/ETL processes that extract data from source systems, transform it (DBT), and load it into the data warehouse Strong experience in Orchestration using Apache Airflow Expert in Cloud Computing in AWS, including deep knowledge of a variety of AWS services like Lambda, Kinesis, S3, Lake Formation, EC2, EMR, ECS/ECR, IAM, CloudWatch, etc Good understanding of Data Quality and Governance, including implementation of data quality checks and monitoring processes to ensure that data is accurate, complete, and consistent Good understanding of BI solutions, including Looker and LookML (Looker Modelling Language) Strong knowledge and hands-on experience of DevOps principles, tools and technologies (GitHub and AWS DevOps), including continuous integration, continuous delivery (CI/CD), infrastructure as code (IaC – Terraform), configuration management, automated testing, performance tuning and cost management and optimization Good Problem-Solving skills: being able to troubleshoot data processing pipelines and identify performance bottlenecks and other issues Possesses strong leadership skills with a willingness to lead, create Ideas, and be assertive Strong project management and organizational skills Excellent communication skills to collaborate with cross-functional teams, including business users, data architects, DevOps/DataOps/MLOps engineers, data analysts, data scientists, developers, and operations teams. Essential to convey complex technical concepts and insights to non-technical stakeholders effectively Ability to document processes, procedures, and deployment configurations Responsibilities: Design, implement, deploy, test and maintain highly scalable and efficient data architectures, defining and maintaining standards and best practices for data management independently with minimal guidance Ensuring the scalability, reliability, quality and performance of data systems Mentoring and guiding junior/mid-level data engineers Collaborating with Product, Engineering, Data Scientists and Analysts to understand data requirements and develop data solutions, including reusable components Evaluating and implementing new technologies and tools to improve data integration, data processing and analysis Design architecture, observability and testing strategies, and build reliable infrastructure and data pipelines Takes ownership of storage layer, data management tasks, including schema design, indexing, and performance tuning Swiftly address and resolve complex data engineering issues, incidents and resolve bottlenecks in SQL queries and database operations Conduct a Discovery on the existing Data Infrastructure and Proposed Architecture Evaluate and implement cutting-edge technologies and methodologies, and continue learning and expanding skills in data engineering and cloud platforms, to improve and modernize existing data systems Evaluate, design, and implement data governance solutions: cataloguing, lineage, quality and data governance frameworks that are suitable for a modern analytics solution, considering industry-standard best practices and patterns Define and document data engineering architectures, processes and data flows Assess best practices and design schemas that match business needs for delivering a modern analytics solution (descriptive, diagnostic, predictive, prescriptive) Be an active member of our Agile team, participating in all ceremonies and continuous improvement activities Fusemachines is an Equal opportunity employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws. Powered by JazzHR SC1hyFVwpp Show more Show less

Roles and Responsibilities Design, develop, test, and deploy full-stack applications using Node.js, Express, MongoDB, Redis, React.js, AWS, Nestjs, SQL, Microservices, REST, JSON. Collaborate with cross-functional teams to identify requirements and deliver high-quality solutions. Develop scalable and efficient algorithms for data processing and storage management. Ensure seamless integration of multiple services through API design and implementation. Participate in code reviews to maintain coding standards and best practices. Desired Candidate Profile 5-8 years of experience as a Full Stack Software Engineer with expertise in at least two programming languages (Node.js & React.js). Bachelor's degree in Any Specialization (B.Tech/B.E.). Strong understanding of software development life cycle including design patterns, testing methodologies, version control systems (Git), continuous integration/continuous deployment pipelines (CI/CD). Proficiency in working with databases such as MySQL or NoSQL databases like MongoDB.

Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! Our Company Changing the world through digital experiences is what Adobe’s all about! We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences. We’re passionate about empowering people to craft alluring and powerful images, videos, and apps, and transform how companies harmonize with customers across every screen. We’re on a mission to hire the very best and are committed to building exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new insights can come from everywhere in the organization, and we know the next big idea could be yours. The Opportunity Use your expertise in data science engineering to drive the next stage of growth at Adobe. The Customer Analytics & GTM team is focused on using the power of data to deliver optimized experiences through personalization. This role will drive data engineering for large-scale data science initiatives across a wide variety of strategic projects. As a member of the Data Science Engineering team, you will have significant responsibility to help build large scale cloud-based data and analytics platform with enterprise-wide consumers. This role is inherently multi-functional, and the ideal candidate will work across teams. The position requires ability to own things, come up with innovative solutions, try new tools, technologies, and entrepreneurial personality. Come join us for a truly exciting career, best benefits and outstanding work life balance. What You Will Do Build fault tolerant, scalable, quality data pipelines using multiple cloud- based tools. Develop analytical, personalization capabilities using pioneering technologies by bringing to bear Adobe tools. Build LLM agents to optimize and automate data pipelines following the best engineering practices. Deliver End to End Data Pipelines to run Machine Learning Models in a production platform. Innovative solutions to help broader organization take significant actions fast and efficiently. Chip into data engineering and data science frameworks, tools, and processes. Implement outstanding data operations and implement standard methodologies to use resources in an optimum way. Architect data ingestion, data transformation, data consumption, data governance frameworks. Help build production grade ML models and integration with operational systems. This is a high visibility role for a team which is on a critical mission to stop software privacy. A lot of collaboration with global multi-functional operations teams is required to onboard the customers to use genuine software. Work in a collaborative environment and contribute to the team as well as organization’s success. What You Will Need Bachelor’s degree in computer science or equivalent. Master’s degree or equivalent experience is preferred. 5-8 years of consistent track record as a data engineer. At least 2+ years of demonstrable experience and proven track record with Mobile data ecosystem is a must. App Store Optimization (ASO), 3rd Party systems like Branch, Revenue Cat, Google and Apple APIs etc. building data pipelines for In App purchases, Paywall impressions and tracking, App crashes etc. 5+ years validated ability in distributed data technologies e.g., Hadoop, Hive, Presto, Spark etc. 3+ years of experience with Cloud based technologies – Databricks, S3, Azure Blob Storage, Notebooks, AWS EMR, Athena, Glue etc. Familiarity and usage of different file formats in batch/streaming processing i.e., Delta/Parquet/ORC etc. 2+ years’ experience with streaming data ingestion and transformation using Kafka, Kinesis etc. Outstanding SQL experience. Ability to write optimized SQLs across platforms. Proven hands-on experience in Python/PySpark/Scala and ability to manipulate data using Pandas, NumPy, Koalas etc. and using APIs to transfer data. Experience working as an architect to design large scale distributed data platforms. Experience with CI/CD tools i.e., GitHub, Jenkins etc. Working experience with Open- source orchestration tools i.e., Apache Air Flow/ Azkaban etc. Teammate with excellent communication/teamwork skills when it comes to closely working with data scientists and machine learning engineers daily. Hands-on work experience with Elastic Stack (Elastic, Logstash, Kibana) and Graph Databases (neo4j, Neptune etc.) is highly desired. Work experience with ML algorithms & frameworks i.e., Keras, Tensor Flow, PyTorch, XGBoost, Linear Regression, Classification, Random Forest, Clustering, mlFlow etc. Nice to have Showcase your work if you are an open - source contributor. Passion to contribute to Open-source community is highly valued. Experience with Data Governance tools e.g., Collibra and Collaboration tools e.g., JIRA/ Confluence etc. Familiarity with Adobe tools like Adobe Experience Platform, Adobe Analytics, Customer Journey Analytics, Adobe Journey Optimizer is a plus. Experience with LLM Models/ Agentic workflows using Copilot, Claude, LLAMA, Databricks Genie etc. is highly preferred. Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015. Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more about our vision here. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015. Show more Show less

Overview: The Technology Solution Delivery - Front Line Manager (M1) is responsible for providing leadership and day-to-day direction to a cross functional engineering team. This role involves establishing and executing operational plans, managing relationships with internal and external customers, and overseeing technical fulfillment projects. The manager also supports sales verticals in customer interactions and ensures the delivery of technology solutions aligns with business needs. What you will do: Build strong relationships with both internal and external stakeholders including product, business and sales partners. Demonstrate excellent communication skills with the ability to both simplify complex problems and also dive deeper if needed Manage teams with cross functional skills that include software, quality, reliability engineers, project managers and scrum masters. Mentor, coach and develop junior and senior software, quality and reliability engineers. Collaborate with the architects, SRE leads and other technical leadership on strategic technical direction, guidelines, and best practices Ensure compliance with EFX secure software development guidelines and best practices and responsible for meeting and maintaining QE, DevSec, and FinOps KPIs. Define, maintain and report SLA, SLO, SLIs meeting EFX engineering standards in partnership with the product, engineering and architecture teams Drive technical documentation including support, end user documentation and run books. Lead Sprint planning, Sprint Retrospectives, and other team activities Implement architecture decision making associated with Product features/stories, refactoring work, and EOSL decisions Create and deliver technical presentations to internal and external technical and non-technical stakeholders communicating with clarity and precision, and present complex information in a concise format that is audience appropriate Provides coaching, leadership and talent development; ensures teams functions as a high-performing team; able to identify performance gaps and opportunities for upskilling and transition when necessary. Drives culture of accountability through actions and stakeholder engagement and expectation management Develop the long-term technical vision and roadmap within, and often beyond, the scope of your teams. Oversee systems designs within the scope of the broader area, and review product or system development code to solve ambiguous problems Identify and resolve problems affecting day-to-day operations Set priorities for the engineering team and coordinate work activities with other supervisors Cloud Certification Strongly Preferred What experience you need: BS or MS degree in a STEM major or equivalent job experience required 10+ years’ experience in software development and delivery You adore working in a fast paced and agile development environment You possess excellent communication, sharp analytical abilities, and proven design skills You have detailed knowledge of modern software development lifecycles including CI / CD You have the ability to operate across a broad and complex business unit with multiple stakeholders You have an understanding of the key aspects of finance especially as related to Technology. Specifically including total cost of ownership and value You are a self-starter, highly motivated, and have a real passion for actively learning and researching new methods of work and new technology You possess excellent written and verbal communication skills with the ability to communicate with team members at various levels, including business leaders What could set you apart UI development (e.g. HTML, JavaScript, AngularJS, Angular4/5 and Bootstrap) Source code control management systems (e.g. SVN/Git, Subversion) and build tools like Maven Big Data, Postgres, Oracle, MySQL, NoSQL databases (e.g. Cassandra, Hadoop, MongoDB, Neo4J) Design patterns Agile environments (e.g. Scrum, XP) Software development best practices such as TDD (e.g. JUnit), automated testing (e.g. Gauge, Cucumber, FitNesse), continuous integration (e.g. Jenkins, GoCD) Linux command line and shell scripting languages Relational databases (e.g. SQL Server, MySQL) Cloud computing, SaaS (Software as a Service) Atlassian tooling (e.g. JIRA, Confluence, and Bitbucket) Experience working in financial services Experience working with open source frameworks; preferably Spring, though we would also consider Ruby, Apache Struts, Symfony, Django, etc. Automated Testing: JUnit, Selenium, LoadRunner, SoapUI Behaviors: Customer-focused with a drive to exceed expectations. Demonstrates integrity and accountability. Intellectually curious and driven to innovate. Values diversity and fosters collaboration. Results-oriented with a sense of urgency and agility.

Job Description Are You Ready to Make It Happen at Mondelēz International? Join our Mission to Lead the Future of Snacking. Make It With Pride. Together with analytics team leaders you will support our business with excellent data models to uncover trends that can drive long-term business results. How You Will Contribute You will: Execute the business analytics agenda in conjunction with analytics team leaders Work with best-in-class external partners who leverage analytics tools and processes Use models/algorithms to uncover signals/patterns and trends to drive long-term business performance Execute the business analytics agenda using a methodical approach that conveys to stakeholders what business analytics will deliver What You Will Bring A desire to drive your future and accelerate your career and the following experience and knowledge: Using data analysis to make recommendations to analytic leaders Understanding in best-in-class analytics practices Knowledge of Indicators (KPI's) and scorecards Knowledge of BI tools like Tableau, Excel, Alteryx, R, Python, etc. is a plus Are You Ready to Make It Happen at Mondelēz International? Join our Mission to Lead the Future of Snacking. Make It with Pride In This Role As a DaaS Data Engineer, you will have the opportunity to design and build scalable, secure, and cost-effective cloud-based data solutions. You will develop and maintain data pipelines to extract, transform, and load data into data warehouses or data lakes, ensuring data quality and validation processes to maintain data accuracy and integrity. You will ensure efficient data storage and retrieval for optimal performance, and collaborate closely with data teams, product owners, and other stakeholders to stay updated with the latest cloud technologies and best practices. Role & Responsibilities: Design and Build: Develop and implement scalable, secure, and cost-effective cloud-based data solutions. Manage Data Pipelines: Develop and maintain data pipelines to extract, transform, and load data into data warehouses or data lakes. Ensure Data Quality: Implement data quality and validation processes to ensure data accuracy and integrity. Optimize Data Storage: Ensure efficient data storage and retrieval for optimal performance. Collaborate and Innovate: Work closely with data teams, product owners, and stay updated with the latest cloud technologies and best practices to remain current in the field. Technical Requirements: Programming: Python, PySpark, Go/Java Database: SQL, PL/SQL ETL & Integration: DBT, Databricks + DLT, AecorSoft, Talend, Informatica/Pentaho/Ab-Initio, Fivetran. Data Warehousing: SCD, Schema Types, Data Mart. Visualization: Databricks Notebook, PowerBI, Tableau, Looker. GCP Cloud Services: Big Query, GCS, Cloud Function, PubSub, Dataflow, DataProc, Dataplex. AWS Cloud Services: S3, Redshift, Lambda, Glue, CloudWatch, EMR, SNS, Kinesis. Supporting Technologies: Graph Database/Neo4j, Erwin, Collibra, Ataccama DQ, Kafka, Airflow. Experience with RGM.ai product would have an added advantage. Soft Skills: Problem-Solving: The ability to identify and solve complex data-related challenges. Communication: Effective communication skills to collaborate with Product Owners, analysts, and stakeholders. Analytical Thinking: The capacity to analyse data and draw meaningful insights. Attention to Detail: Meticulousness in data preparation and pipeline development. Adaptability: The ability to stay updated with emerging technologies and trends in the data engineering field. Within Country Relocation support available and for candidates voluntarily moving internationally some minimal support is offered through our Volunteer International Transfer Policy Business Unit Summary At Mondelēz International, our purpose is to empower people to snack right by offering the right snack, for the right moment, made the right way. That means delivering a broad range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about. We have a rich portfolio of strong brands globally and locally including many household names such as Oreo , belVita and LU biscuits; Cadbury Dairy Milk , Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. We are proud to hold the top position globally in biscuits, chocolate and candy and the second top position in gum. Our 80,000 makers and bakers are located in more than 80 countries and we sell our products in over 150 countries around the world. Our people are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen—and happen fast. Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. Job Type Regular Analytics & Modelling Analytics & Data Science Show more Show less

Company Description NXP Semiconductors enables secure connections and infrastructure for a smarter world, advancing solutions that make lives easier, better and safer. As the world leader in secure connectivity solutions for embedded applications, we are driving innovation in the secure connected vehicle, end-to-end security & privacy and smart connected solutions markets. Organization Description Do you feel challenged by being part of the IT department of NXP, the company with a mission of “Secure Connections for a Smarter World”? Do you perform best in a role representing IT in projects in a fast moving, international environment? Within R&D IT Solutions, the Product Creation Applications (PCA) department is responsible for providing and supporting the R&D design community globally with best-in-class applications and support. The applications are used by over 6,000 designers. Job Summary As a Graph Engineer, you will: Develop pipelines and code to support the ingress and egress of this data to and from the knowledge graphs. Perform basic and advanced graph querying and data modeling on the knowledge graphs that lie at the heart of the organization's Product Creation ecosystem. Maintain the (ETL) pipelines, code and Knowledge Graph to stay scalable, resilient and performant in line with customer’s requirements. Work in an international and Agile DevOps environment. This position offers an opportunity to work in a globally distributed team where you will get a unique opportunity of personal development in a multi-cultural environment. You will also get a challenging environment to develop expertise in the technologies useful in the industry. Primary Responsibilities Translate requirements of business functions into “Graph-Thinking”. Build and maintain graphs and related applications from data and information, using latest graph technologies to leverage high value use cases. Support and manage graph databases. Integrate graph data from various sources – internal and external. Extract data from various sources, including databases, APIs, and flat files. Load data into target systems, such as data warehouses and data lakes. Develop code to move data (ETL) from the enterprise platform applications into the enterprise knowledge graphs. Optimize ETL processes for performance and scalability. Collaborate with data engineers, data scientists and other stakeholders to model the graph environment to best represent the data coming from the multiple enterprise systems. Skills / Experience Semantic Web technologies: RDF RDFS, OWL, SHACL SPARQL JSON-LD, N-Triples/N-Quads, Turtle, RDF/XML, TriX API-led architectures REST, SOAP Microservices API Management Graph databases, such as Dydra, Amazon Neptune, Neo4J, Oracle Spatial & Graph is a plus Experience with other NoSQL databases, such as key-value databases and document-based databases (e.g. XML databases) is a plus Experience with relational databases Programming experience, preferably Java, JavaScript, Python, PL/SQL Experience with web technologies: HTML, CSS, XML, XSLT, XPath Experience with modelling languages such as UML Understanding of CI/CD automation, version control, build automation, testing frameworks, static code analysis, IT service management, artifact management, container management, and experience with related tools and platforms. Familiarity with Cloud computing concepts (e.g. in AWS and Azure). Education & Personal Skillsets A master’s or bachelor’s degree in the field of computer science, mathematics, electronics engineering or related discipline with at least 10 plus years of experience in a similar role Excellent problem-solving and analytical skills A growth mindset with a curiosity to learn and improve. Team player with strong interpersonal, written, and verbal communication skills. Business consulting and technical consulting skills. An entrepreneurial spirit and the ability to foster a positive and energized culture. You can demonstrate fluent communication skills in English (spoken and written). Experience working in Agile (Scrum knowledge appreciated) with a DevOps mindset. More information about NXP in India... Show more Show less

Tata Consultancy Services is hiring Python Full stack Developers !!! Role**Python Full stack Developer Desired Experience Range**6-8 YEARS Location of Requirement**Hyderabad And Kolkata Desired Skills -Technical/Behavioral Frontend o 6+ years of overall experience with proficiency in React (2+ years), Typescript (1+ year), React hooks (1+ year) o Experience with ESlint, CSS in JS styling (preferably Emotion), state management (preferably Redux), and JavaScript bundlers such as Webpack o Experience with integrating with RESTful APIs or other web services Backend o Expertise with Python (3+ years, preferably Python3) o Proficiency with a Python web framework (2+ years, preferably flask and FastAPI) o Experience with a Python linter (preferably flake8), graph databases (preferably Neo4j), a package manager (preferably pip), Elasticsearch, and Airflow o Experience with developing microservices, RESTful APIs or other web services o Experience with Database design and management, including NoSQL/RDBMS tradeoffs Interested and eligible candidates can apply !!! Show more Show less

Role: Senior Databricks Engineer / Databricks Technical Lead/ Data Architect Location: Bangalore, Chennai, Delhi, Pune, Kolkata Primary Roles And Responsibilities Developing Modern Data Warehouse solutions using Databricks and AWS/ Azure Stack Ability to provide solutions that are forward-thinking in data engineering and analytics space Collaborate with DW/BI leads to understand new ETL pipeline development requirements. Triage issues to find gaps in existing pipelines and fix the issues Work with business to understand the need in reporting layer and develop data model to fulfill reporting needs Help joiner team members to resolve issues and technical challenges. Drive technical discussion with client architect and team members Orchestrate the data pipelines in scheduler via Airflow Skills And Qualifications Bachelor's and/or master’s degree in computer science or equivalent experience. Must have total 6+ yrs. of IT experience and 3+ years' experience in Data warehouse/ETL projects. Deep understanding of Star and Snowflake dimensional modelling. Strong knowledge of Data Management principles Good understanding of Databricks Data & AI platform and Databricks Delta Lake Architecture Should have hands-on experience in SQL, Python and Spark (PySpark) Candidate must have experience in AWS/ Azure stack Desirable to have ETL with batch and streaming (Kinesis). Experience in building ETL / data warehouse transformation processes Experience with Apache Kafka for use with streaming data / event-based data Experience with other Open-Source big data products Hadoop (incl. Hive, Pig, Impala) Experience with Open Source non-relational / NoSQL data repositories (incl. MongoDB, Cassandra, Neo4J) Experience working with structured and unstructured data including imaging & geospatial data. Experience working in a Dev/Ops environment with tools such as Terraform, CircleCI, GIT. Proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning and troubleshoot Databricks Certified Data Engineer Associate/Professional Certification (Desirable). Comfortable working in a dynamic, fast-paced, innovative environment with several ongoing concurrent projects Should have experience working in Agile methodology Strong verbal and written communication skills. Strong analytical and problem-solving skills with a high attention to detail. Mandatory Skills: Python/ PySpark / Spark with Azure/ AWS Databricks Skills: neo4j,pig,mongodb,pl/sql,architect,terraform,hadoop,pyspark,impala,apache kafka,adfs,etl,data warehouse,spark,azure,data bricks,databricks,rdbms,cassandra,aws,unix shell scripting,circleci,python,azure synapse,hive,git,kinesis,sql Show more Show less

Role: Senior Databricks Engineer / Databricks Technical Lead/ Data Architect Location: Bangalore, Chennai, Delhi, Pune, Kolkata Primary Roles And Responsibilities Developing Modern Data Warehouse solutions using Databricks and AWS/ Azure Stack Ability to provide solutions that are forward-thinking in data engineering and analytics space Collaborate with DW/BI leads to understand new ETL pipeline development requirements. Triage issues to find gaps in existing pipelines and fix the issues Work with business to understand the need in reporting layer and develop data model to fulfill reporting needs Help joiner team members to resolve issues and technical challenges. Drive technical discussion with client architect and team members Orchestrate the data pipelines in scheduler via Airflow Skills And Qualifications Bachelor's and/or master’s degree in computer science or equivalent experience. Must have total 6+ yrs. of IT experience and 3+ years' experience in Data warehouse/ETL projects. Deep understanding of Star and Snowflake dimensional modelling. Strong knowledge of Data Management principles Good understanding of Databricks Data & AI platform and Databricks Delta Lake Architecture Should have hands-on experience in SQL, Python and Spark (PySpark) Candidate must have experience in AWS/ Azure stack Desirable to have ETL with batch and streaming (Kinesis). Experience in building ETL / data warehouse transformation processes Experience with Apache Kafka for use with streaming data / event-based data Experience with other Open-Source big data products Hadoop (incl. Hive, Pig, Impala) Experience with Open Source non-relational / NoSQL data repositories (incl. MongoDB, Cassandra, Neo4J) Experience working with structured and unstructured data including imaging & geospatial data. Experience working in a Dev/Ops environment with tools such as Terraform, CircleCI, GIT. Proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning and troubleshoot Databricks Certified Data Engineer Associate/Professional Certification (Desirable). Comfortable working in a dynamic, fast-paced, innovative environment with several ongoing concurrent projects Should have experience working in Agile methodology Strong verbal and written communication skills. Strong analytical and problem-solving skills with a high attention to detail. Mandatory Skills: Python/ PySpark / Spark with Azure/ AWS Databricks Skills: neo4j,pig,mongodb,pl/sql,architect,terraform,hadoop,pyspark,impala,apache kafka,adfs,etl,data warehouse,spark,azure,data bricks,databricks,rdbms,cassandra,aws,unix shell scripting,circleci,python,azure synapse,hive,git,kinesis,sql Show more Show less

Role: Senior Databricks Engineer / Databricks Technical Lead/ Data Architect Location: Bangalore, Chennai, Delhi, Pune, Kolkata Primary Roles And Responsibilities Developing Modern Data Warehouse solutions using Databricks and AWS/ Azure Stack Ability to provide solutions that are forward-thinking in data engineering and analytics space Collaborate with DW/BI leads to understand new ETL pipeline development requirements. Triage issues to find gaps in existing pipelines and fix the issues Work with business to understand the need in reporting layer and develop data model to fulfill reporting needs Help joiner team members to resolve issues and technical challenges. Drive technical discussion with client architect and team members Orchestrate the data pipelines in scheduler via Airflow Skills And Qualifications Bachelor's and/or master’s degree in computer science or equivalent experience. Must have total 6+ yrs. of IT experience and 3+ years' experience in Data warehouse/ETL projects. Deep understanding of Star and Snowflake dimensional modelling. Strong knowledge of Data Management principles Good understanding of Databricks Data & AI platform and Databricks Delta Lake Architecture Should have hands-on experience in SQL, Python and Spark (PySpark) Candidate must have experience in AWS/ Azure stack Desirable to have ETL with batch and streaming (Kinesis). Experience in building ETL / data warehouse transformation processes Experience with Apache Kafka for use with streaming data / event-based data Experience with other Open-Source big data products Hadoop (incl. Hive, Pig, Impala) Experience with Open Source non-relational / NoSQL data repositories (incl. MongoDB, Cassandra, Neo4J) Experience working with structured and unstructured data including imaging & geospatial data. Experience working in a Dev/Ops environment with tools such as Terraform, CircleCI, GIT. Proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning and troubleshoot Databricks Certified Data Engineer Associate/Professional Certification (Desirable). Comfortable working in a dynamic, fast-paced, innovative environment with several ongoing concurrent projects Should have experience working in Agile methodology Strong verbal and written communication skills. Strong analytical and problem-solving skills with a high attention to detail. Mandatory Skills: Python/ PySpark / Spark with Azure/ AWS Databricks Skills: neo4j,pig,mongodb,pl/sql,architect,terraform,hadoop,pyspark,impala,apache kafka,adfs,etl,data warehouse,spark,azure,data bricks,databricks,rdbms,cassandra,aws,unix shell scripting,circleci,python,azure synapse,hive,git,kinesis,sql Show more Show less

Role: Senior Databricks Engineer / Databricks Technical Lead/ Data Architect Location: Bangalore, Chennai, Delhi, Pune, Kolkata Primary Roles And Responsibilities Developing Modern Data Warehouse solutions using Databricks and AWS/ Azure Stack Ability to provide solutions that are forward-thinking in data engineering and analytics space Collaborate with DW/BI leads to understand new ETL pipeline development requirements. Triage issues to find gaps in existing pipelines and fix the issues Work with business to understand the need in reporting layer and develop data model to fulfill reporting needs Help joiner team members to resolve issues and technical challenges. Drive technical discussion with client architect and team members Orchestrate the data pipelines in scheduler via Airflow Skills And Qualifications Bachelor's and/or master’s degree in computer science or equivalent experience. Must have total 6+ yrs. of IT experience and 3+ years' experience in Data warehouse/ETL projects. Deep understanding of Star and Snowflake dimensional modelling. Strong knowledge of Data Management principles Good understanding of Databricks Data & AI platform and Databricks Delta Lake Architecture Should have hands-on experience in SQL, Python and Spark (PySpark) Candidate must have experience in AWS/ Azure stack Desirable to have ETL with batch and streaming (Kinesis). Experience in building ETL / data warehouse transformation processes Experience with Apache Kafka for use with streaming data / event-based data Experience with other Open-Source big data products Hadoop (incl. Hive, Pig, Impala) Experience with Open Source non-relational / NoSQL data repositories (incl. MongoDB, Cassandra, Neo4J) Experience working with structured and unstructured data including imaging & geospatial data. Experience working in a Dev/Ops environment with tools such as Terraform, CircleCI, GIT. Proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning and troubleshoot Databricks Certified Data Engineer Associate/Professional Certification (Desirable). Comfortable working in a dynamic, fast-paced, innovative environment with several ongoing concurrent projects Should have experience working in Agile methodology Strong verbal and written communication skills. Strong analytical and problem-solving skills with a high attention to detail. Mandatory Skills: Python/ PySpark / Spark with Azure/ AWS Databricks Skills: neo4j,pig,mongodb,pl/sql,architect,terraform,hadoop,pyspark,impala,apache kafka,adfs,etl,data warehouse,spark,azure,data bricks,databricks,rdbms,cassandra,aws,unix shell scripting,circleci,python,azure synapse,hive,git,kinesis,sql 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. Develop strategic design and requirements on small systems or modules of large systems (large scale). Perform general application development activities, including unit testing, code deployment to a development environment, and technical documentation. What you’ll do Solve unique and complex problems with a broad impact on the business Build large, complex projects to achieve key business objectives Translate highly complex concepts in ways that can be understood by a variety of audiences Deploy and maintain Applications / Systems Working with product owners, UX, and other business partners to define work for the team Facilitating code reviews, code quality checks, testing, automation, etc. Ensure integrated end-to-end design What Experience You Need 5+ years as a Full-stack developer with experience in client-side JavaScript frameworks (preferably Angular, TypeScript), Node.JS, NPM, server-side frameworks (Java / Spring / Spring Cloud / Hibernate / SpringBoot Microservices) 3+ years of experience working with Cloud environments (GCP and AWS) 3+ years of experience with Microservices /Rest services / Soap) 2+ years of experience with Postgres/ Oracle / MySQL / NoSQL databases (MongoDB, Cassandra, Neo4J) 2+ years of experience with Node.js, React, Backbone, or other client-side MVC technologies 2+ years of experience with unit and automation testing (Jasmine, Protractor, JUnit) Experience in continuous integration build tools (Jenkins, SonarQube, JIRA, Nexus, Confluence, GIT-BitBucket, Maven, Gradle, RunDeck) REST API design and implementation Knowledge of Java build tools and dependency management (gradle, maven) English proficiency B2 or above What could set you apart SRE experience Strong interpersonal skills as well as strong teamwork and customer support focus Aggressive problem diagnosis and creative problem-solving skills on highly complex problems; technical agility Experience with API Frameworks (APIGEE) Experience working with Agile methodologies Experience in UNIX or Linux (is a plus) Experience with CSS preprocessors (less, sass) Familiar with secure development best practices. Experience creating responsive designs (Bootstrap, mobile, etc.) Knowledge of Security principles (Encryption, Authentication/Authorization etc) 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

Develop strategic design and requirements on small systems or modules of large systems (large scale). Perform general application development activities, including unit testing, code deployment to a development environment, and technical documentation. What you’ll do Solve unique and complex problems with a broad impact on the business Build large, complex projects to achieve key business objectives Translate highly complex concepts in ways that can be understood by a variety of audiences Deploy and maintain Applications / Systems Working with product owners, UX, and other business partners to define work for the team Facilitating code reviews, code quality checks, testing, automation, etc. Ensure integrated end-to-end design What Experience You Need 5+ years as a Full-stack developer with experience in client-side JavaScript frameworks (preferably Angular, TypeScript), Node.JS, NPM, server-side frameworks (Java / Spring / Spring Cloud / Hibernate / SpringBoot Microservices) 3+ years of experience working with Cloud environments (GCP and AWS) 3+ years of experience with Microservices /Rest services / Soap) 2+ years of experience with Postgres/ Oracle / MySQL / NoSQL databases (MongoDB, Cassandra, Neo4J) 2+ years of experience with Node.js, React, Backbone, or other client-side MVC technologies 2+ years of experience with unit and automation testing (Jasmine, Protractor, JUnit) Experience in continuous integration build tools (Jenkins, SonarQube, JIRA, Nexus, Confluence, GIT-BitBucket, Maven, Gradle, RunDeck) REST API design and implementation Knowledge of Java build tools and dependency management (gradle, maven) English proficiency B2 or above What could set you apart SRE experience Strong interpersonal skills as well as strong teamwork and customer support focus Aggressive problem diagnosis and creative problem-solving skills on highly complex problems; technical agility Experience with API Frameworks (APIGEE) Experience working with Agile methodologies Experience in UNIX or Linux (is a plus) Experience with CSS preprocessors (less, sass) Familiar with secure development best practices. Experience creating responsive designs (Bootstrap, mobile, etc.) Knowledge of Security principles (Encryption, Authentication/Authorization etc) Show more Show less

Role: Technical Architect Experience: 8-15 years Location: Bangalore, Chennai, Gurgaon, Pune, and Kolkata Mandatory Skills: Python, Pyspark, SQL, ETL, Pipelines, Azure Databricks, Azure Data Factory, & Architect Designing. Primary Roles and Responsibilities: Developing Modern Data Warehouse solutions using Databricks and AWS/ Azure Stack Ability to provide solutions that are forward-thinking in data engineering and analytics space Collaborate with DW/BI leads to understand new ETL pipeline development requirements. Triage issues to find gaps in existing pipelines and fix the issues Work with business to understand the need in reporting layer and develop data model to fulfill reporting needs Help joiner team members to resolve issues and technical challenges. Drive technical discussion with client architect and team members Orchestrate the data pipelines in scheduler via Airflow Skills and Qualifications: Bachelor's and/or master’s degree in computer science or equivalent experience. Must have total 8+ yrs. of IT experience and 5+ years' experience in Data warehouse/ETL projects. Deep understanding of Star and Snowflake dimensional modelling. Strong knowledge of Data Management principles Good understanding of Databricks Data & AI platform and Databricks Delta Lake Architecture Should have hands-on experience in SQL, Python and Spark (PySpark) Candidate must have experience in AWS/ Azure stack Desirable to have ETL with batch and streaming (Kinesis). Experience in building ETL / data warehouse transformation processes Experience with Apache Kafka for use with streaming data / event-based data Experience with other Open-Source big data products Hadoop (incl. Hive, Pig, Impala) Experience with Open Source non-relational / NoSQL data repositories (incl. MongoDB, Cassandra, Neo4J) Experience working with structured and unstructured data including imaging & geospatial data. Experience working in a Dev/Ops environment with tools such as Terraform, CircleCI, GIT. Proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning and troubleshoot Databricks Certified Data Engineer Associate/Professional Certification (Desirable). Comfortable working in a dynamic, fast-paced, innovative environment with several ongoing concurrent projects Should have experience working in Agile methodology Strong verbal and written communication skills. Strong analytical and problem-solving skills with a high attention to detail. Show more Show less

In one sentence We are seeking a highly skilled and adaptable Senior Python Developer to join our fast-paced and dynamic team. The ideal candidate is a hands-on technologist with deep expertise in Python and a strong background in data engineering, cloud platforms, and modern development practices. You will play a key role in building scalable, high-performance applications and data pipelines that power critical business functions. You will be instrumental in designing and developing high-performance data pipelines from relational to graph databases, and leveraging Agentic AI for orchestration. Youll also define APIs using AWS Lambda and containerised services on AWS ECS. Join us on an exciting journey where you'll work with cutting-edge technologies including Generative AI, Agentic AI, and modern cloud-native architectureswhile continuously learning and growing alongside a passionate team. What will your job look like? Key Attributes: Adaptability & Agility Thrive in a fast-paced, ever-evolving environment with shifting priorities. Demonstrated ability to quickly learn and integrate new technologies and frameworks. Strong problem-solving mindset with the ability to juggle multiple priorities effectively. Core Responsibilities Design, develop, test, and maintain robust Python applications and data pipelines using Python/Pyspark. Define and implement smart data pipelines from RDBMS to Graph Databases. Build and expose APIs using AWS Lambda and ECS-based microservices. Collaborate with cross-functional teams to define, design, and deliver new features. Write clean, efficient, and scalable code following best practices. Troubleshoot, debug, and optimise applications for performance and reliability. Contribute to the setup and maintenance of CI/CD pipelines and deployment workflows if required. Ensure security, compliance, and observability across all development activities. All you need is... Required Skills & Experience Expert-level proficiency in Python with a strong grasp of Object oriented & functional programming. Solid experience with SQL and graph databases (e.g., Neo4j, Amazon Neptune). Hands-on experience with cloud platforms AWS and/or Azure is a must. Proficiency in PySpark or similar data ingestion and processing frameworks. Familiarity with DevOps tools such as Docker, Kubernetes, Jenkins, and Git. Strong understanding of CI/CD, version control, and agile development practices. Excellent communication and collaboration skills. Desirable Skills Experience with Agentic AI, machine learning, or LLM-based systems. Familiarity with Apache Iceberg or similar modern data lakehouse formats. Knowledge of Infrastructure as Code (IaC) tools like Terraform or Ansible. Understanding of microservices architecture and distributed systems. Exposure to observability tools (e.g., Prometheus, Grafana, ELK stack). Experience working in Agile/Scrum environments. Minimum Qualifications 6 to 8 years of hands-on experience in Python development and data engineering. Demonstrated success in delivering production-grade software and scalable data solutions.

Job Title: Team Leader – Full Stack & GenAI Projects Location: Mumbai, Work From Office Reporting To: Project Manager Experience: 2–3 years Employment Type: Full-time Job Summary We are looking for a motivated and responsible Team Leader to manage the delivery of full stack development projects with a focus on Generative AI applications . You will lead a team of 3–5 developers, ensure high-quality deliverables, and collaborate closely with the project manager to meet deadlines and client expectations. Key Responsibilities Lead the design, development, and deployment of web-based software solutions using modern full stack technologies Guide and mentor a team of 3–5 developers; assign tasks and monitor progress Take ownership of project deliverables and ensure timely, quality outcomes Collaborate with cross-functional teams including UI/UX, DevOps, and QA Apply problem-solving skills to address technical challenges and design scalable solutions Contribute to the development of GenAI-based modules and features Ensure adherence to coding standards, version control, and agile practices Required Skills & Qualifications Bachelor’s degree in Computer Science, Information Technology, or related field 2–3 years of experience in full stack development (front-end + back-end) Proficiency in one or more tech stacks (e.g., React/Angular + Node.js/Java/Python) Solid understanding of databases, REST APIs, and version control (Git) Strong problem-solving skills and ability to work independently Excellent programming, debugging, and team collaboration skills Exposure to Generative AI frameworks or APIs is a strong plus Willingness to work from office full-time Nice to Have Experience in leading or mentoring small teams Familiarity with cloud platforms (AWS, GCP, or Azure) Knowledge of CI/CD practices and Agile methodologies About Us Cere Labs is a Mumbai based company working in the field of Artificial Intelligence. It is a product company that utilizes the latest technologies such as Python, Redis, neo4j, MVC, Docker, Kubernetes to build its AI platform. Cere Labs’ clients are primarily from the Banking and Finance domain in India and US. The company has a great environment for its employees to learn and grow in technology. Skills:- Python, React.js and Spring Boot Show more Show less

As the global leader in high-speed connectivity, Ciena is committed to a people-first approach. Our teams enjoy a culture focused on prioritizing a flexible work environment that empowers individual growth, well-being, and belonging. We’re a technology company that leads with our humanity—driving our business priorities alongside meaningful social, community, and societal impact. We believe in the power of people. We are a network strategy and technology company that is motivated by making a difference in people’s lives – their productivity, creativity, health and comfort. We’re looking for a highly motivated, talented and experienced engineer who is passionate about product verification automation activities and is ready to assume a leadership position within the team in addressing future projects. You will certify solutions that provide our customers opportunities to differentiate their service offerings in a very competitive market. The ideal candidate is a flexible, highly technical problem solver, with interdisciplinary knowledge of software, and test & test automation. You feel at home in a dynamic, multi-disciplined engineering environment, acting as an interface between product design, other Blue Planet test engineering teams, and members of other functional groups (support, documentation, marketing, etc). RESPONSIBILITIES Engage with various engineering teams, product line managers and product owners to transform concepts and high-level requirements into optimized test coverage and enhanced customer experience. Automate and maintain all manually devised and executed test cases using automation best practices and maintain CI/CD pipeline framework Coding E2E Automated tests for the Angular UI frontend with Cucumber/Webdriver.io. Coding Rest API testing automation Coding of System testing with ansible, bash scripting Drive (plan and implement) lab or simulation environment setup activities to fully address proposed testing scenarios and coordinate equipment acquisition/sharing agreements with the various teams concerned. Analyse test results and prepare test reports. Investigate software defects and highlight critical issues that can have potential customer impact and consult with software development engineers in finding resolution or to address problems related to specifications and/or test plans/procedures. Raise Agile Jira bugs for product defects Report on automation status Research the best tools/ways of test automation for required functionality Skills Expected from the candidate: Frontend testing frameworks/libraries: Cucumber/Webdriver.io Backend programming/markup languages: Python Backend testing: Rest API testing automation tools, Postman/Newman, Jasmine Load testing: JMeter, Grafana + Prometheus Container management: Docker, Kubernetes, OpenStack Testing Theory: terminology, testing types, asynchronous automated testing Continuous Integration Tools: Jenkins, TeamCity, GitLab Cloud Environments: AWS, Azure, Google cloud Version control system: Git, Bitbucket System Testing Automation with: Bash, Shell, Python, Ansible scripting Hands-on experience of CI/CD pipeline configuration and maintenance Solid operational and administrator experience with Unix operation systems Understanding of Web application and Microservice solution architecture Strong abilities to rapidly learn new complex technological concepts and apply knowledge in daily activities. Excellent written (documentation) and interpersonal communication skills (English). Strong abilities to work as part of a team or independently with little supervision. Experienced working as part of an Agile scrum team and with DevOps process Desirable For The Candidate Ticketing: Jira Documentation: Confluence, Gitlab Frontend programming/markup languages: Typescript/JavaScript, html, CSS, SVG Frontend development frameworks/libraries: Angular 2+, Node.js/npm, D3.js, gulp Programming theory: algorithms and data structures, relational and graph database concepts, etc. Non-critical Extras Domain: Telecom, Computer Networking, OSS Builds: Maven, NPM, JVM, NodeJS Databases: PostgreSQL, Neo4j, ClickHouse Test Management: TestRail Other Skills: ElasticSearch, Drools, Kafka integration, REST (on Spring MVC), SSO (LDAP, Reverse Proxy, OAuth2) Not ready to apply? Join our Talent Community to get relevant job alerts straight to your inbox. At Ciena, we are committed to building and fostering an environment in which our employees feel respected, valued, and heard. Ciena values the diversity of its workforce and respects its employees as individuals. We do not tolerate any form of discrimination. Ciena is an Equal Opportunity Employer, including disability and protected veteran status. If contacted in relation to a job opportunity, please advise Ciena of any accommodation measures you may require. Show more Show less

What you will do In this vital role you will be part of Researchs Semantic Graph Team is seeking a dedicated and skilled Semantic Data Engineer to build and optimize knowledge graph-based software and data resources. This role primarily focuses on working with technologies such as RDF, SPARQL, and Python. In addition, the position involves semantic data integration and cloud-based data engineering. The ideal candidate should possess experience in the pharmaceutical or biotech industry, demonstrate deep technical skills, and be proficient with big data technologies and demonstrate experience in semantic modeling. A deep understanding of data architecture and ETL processes is also essential for this role. In this role, you will be responsible for constructing semantic data pipelines, integrating both relational and graph-based data sources, ensuring seamless data interoperability, and leveraging cloud platforms to scale data solutions effectively. Roles & Responsibilities: Develop and maintain semantic data pipelines using Python, RDF, SPARQL, and linked data technologies. Develop and maintain semantic data models for biopharma scientific data Integrate relational databases (SQL, PostgreSQL, MySQL, Oracle, etc.) with semantic frameworks. Ensure interoperability across federated data sources, linking relational and graph-based data. Implement and optimize CI/CD pipelines using GitLab and AWS. Leverage cloud services (AWS Lambda, S3, Databricks, etc.) to support scalable knowledge graph solutions. Collaborate with global multi-functional teams, including research scientists, Data Architects, Business SMEs, Software Engineers, and Data Scientists to understand data requirements, design solutions, and develop end-to-end data pipelines to meet fast-paced business needs across geographic regions. Collaborate with data scientists, engineers, and domain experts to improve research data accessibility. Adhere to standard processes for coding, testing, and designing reusable code/components. Explore new tools and technologies to improve ETL platform performance. Participate in sprint planning meetings and provide estimations on technical implementation. Maintain comprehensive documentation of processes, systems, and solutions. Harmonize research data to appropriate taxonomies, ontologies, and controlled vocabularies for context and reference knowledge. Basic Qualifications and Experience: Doctorate Degree OR Masters degree with 4 - 6 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field OR Bachelors degree with 6 - 8 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field OR Diploma with 10 - 12 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field Preferred Qualifications and Experience: 6+ years of experience in designing and supporting biopharma scientific research data analytics (software platforms) Functional Skills: Must-Have Skills: Advanced Semantic and Relational Data Skills: Proficiency in Python, RDF, SPARQL, Graph Databases (e.g. Allegrograph), SQL, relational databases, ETL pipelines, big data technologies (e.g. Databricks), semantic data standards (OWL, W3C, FAIR principles), ontology development and semantic modeling practices. Cloud and Automation Expertise: Good experience in using cloud platforms (preferably AWS) for data engineering, along with Python for automation, data federation techniques, and model-driven architecture for scalable solutions. Technical Problem-Solving: Excellent problem-solving skills with hands-on experience in test automation frameworks (pytest), scripting tasks, and handling large, complex datasets. Good-to-Have Skills: Experience in biotech/drug discovery data engineering Experience applying knowledge graphs, taxonomy and ontology concepts in life sciences and chemistry domains Experience with graph databases (Allegrograph, Neo4j, GraphDB, Amazon Neptune) Familiarity with Cypher, GraphQL, or other graph query languages Experience with big data tools (e.g. Databricks) Experience in biomedical or life sciences research data management Soft Skills: Excellent critical-thinking and problem-solving skills Good communication and collaboration skills Demonstrated awareness of how to function in a team setting Demonstrated presentation skills

Overview: The Technology Solution Delivery - Front Line Manager (M1) is responsible for providing leadership and day-to-day direction to a cross functional engineering team. This role involves establishing and executing operational plans, managing relationships with internal and external customers, and overseeing technical fulfillment projects. The manager also supports sales verticals in customer interactions and ensures the delivery of technology solutions aligns with business needs. What you will do: Build strong relationships with both internal and external stakeholders including product, business and sales partners. Demonstrate excellent communication skills with the ability to both simplify complex problems and also dive deeper if needed Manage teams with cross functional skills that include software, quality, reliability engineers, project managers and scrum masters. Mentor, coach and develop junior and senior software, quality and reliability engineers. Collaborate with the architects, SRE leads and other technical leadership on strategic technical direction, guidelines, and best practices Ensure compliance with EFX secure software development guidelines and best practices and responsible for meeting and maintaining QE, DevSec, and FinOps KPIs. Define, maintain and report SLA, SLO, SLIs meeting EFX engineering standards in partnership with the product, engineering and architecture teams Drive technical documentation including support, end user documentation and run books. Lead Sprint planning, Sprint Retrospectives, and other team activities Implement architecture decision making associated with Product features/stories, refactoring work, and EOSL decisions Create and deliver technical presentations to internal and external technical and non-technical stakeholders communicating with clarity and precision, and present complex information in a concise format that is audience appropriate Provides coaching, leadership and talent development; ensures teams functions as a high-performing team; able to identify performance gaps and opportunities for upskilling and transition when necessary. Drives culture of accountability through actions and stakeholder engagement and expectation management Develop the long-term technical vision and roadmap within, and often beyond, the scope of your teams. Oversee systems designs within the scope of the broader area, and review product or system development code to solve ambiguous problems Identify and resolve problems affecting day-to-day operations Set priorities for the engineering team and coordinate work activities with other supervisors Cloud Certification Strongly Preferred What experience you need: BS or MS degree in a STEM major or equivalent job experience required 10+ years’ experience in software development and delivery You adore working in a fast paced and agile development environment You possess excellent communication, sharp analytical abilities, and proven design skills You have detailed knowledge of modern software development lifecycles including CI / CD You have the ability to operate across a broad and complex business unit with multiple stakeholders You have an understanding of the key aspects of finance especially as related to Technology. Specifically including total cost of ownership and value You are a self-starter, highly motivated, and have a real passion for actively learning and researching new methods of work and new technology You possess excellent written and verbal communication skills with the ability to communicate with team members at various levels, including business leaders What Could Set You Apart UI development (e.g. HTML, JavaScript, AngularJS, Angular4/5 and Bootstrap) Source code control management systems (e.g. SVN/Git, Subversion) and build tools like Maven Big Data, Postgres, Oracle, MySQL, NoSQL databases (e.g. Cassandra, Hadoop, MongoDB, Neo4J) Design patterns Agile environments (e.g. Scrum, XP) Software development best practices such as TDD (e.g. JUnit), automated testing (e.g. Gauge, Cucumber, FitNesse), continuous integration (e.g. Jenkins, GoCD) Linux command line and shell scripting languages Relational databases (e.g. SQL Server, MySQL) Cloud computing, SaaS (Software as a Service) Atlassian tooling (e.g. JIRA, Confluence, and Bitbucket) Experience working in financial services Experience working with open source frameworks; preferably Spring, though we would also consider Ruby, Apache Struts, Symfony, Django, etc. Automated Testing: JUnit, Selenium, LoadRunner, SoapUI Behaviors: Customer-focused with a drive to exceed expectations. Demonstrates integrity and accountability. Intellectually curious and driven to innovate. Values diversity and fosters collaboration. Results-oriented with a sense of urgency and agility. Show more Show less

Company: Indian / Global Engineering & Manufacturing Organization Key Skills: ETL/ELT, RDF, OWL, SPARQL, Neo4j, AWS Neptune, ArangoDB, Python, SQL, Cypher, Semantic Modeling, Cloud Data Pipelines, Data Quality, Knowledge Graph, Graph Query Optimization, Semantic Search. Roles and Responsibilities: Design and build advanced data pipelines for integrating structured and unstructured data into graph models. Develop and maintain semantic models using RDF, OWL, and SPARQL. Implement and optimize data pipelines on cloud platforms such as AWS, Azure, or GCP. Model real-world relationships through ontologies and hierarchical graph data structures. Work with graph databases such as Neo4j, AWS Neptune, ArangoDB for knowledge graph development. Collaborate with cross-functional teams including AI/ML and business analysts to support semantic search and analytics. Ensure data quality, security, and compliance throughout the pipeline lifecycle. Monitor, debug, and enhance performance of graph queries and data transformation workflows. Create clear documentation and communicate technical concepts to non-technical stakeholders. Participate in global team meetings and knowledge-sharing sessions to align on data standards and architectural practices. Experience Requirement: 3-8 years of hands-on experience in ETL/ELT engineering and data integration. Experience working with graph databases such as Neo4j, AWS Neptune, or ArangoDB. Proven experience implementing knowledge graphs, including semantic modeling using RDF, OWL, and SPARQL. Strong Python and SQL programming skills, with proficiency in Cypher or other graph query languages. Experience designing and deploying pipelines on cloud platforms (AWS preferred). Track record of resolving complex data quality issues and optimizing pipeline performance. Previous collaboration with data scientists and product teams to implement graph-based analytics or semantic search features. Education: Any Graduation. Show more Show less

Role Description Hiring Location: Mumbai/Chennai/Gurgaon Job Summary We are seeking a Lead I in Software Engineering with 4 to 7 years of experience in software development or software architecture. The ideal candidate will possess a strong background in Angular and Java, with the ability to lead a team and drive technical projects. A Bachelor's degree in Engineering or Computer Science, or equivalent experience, is required. Responsibilities Interact with technical personnel and team members to finalize requirements. Write and review detailed specifications for the development of system components of moderate complexity. Collaborate with QA and development team members to translate product requirements into software designs. Implement development processes, coding best practices, and conduct code reviews. Operate in various development environments (Agile, Waterfall) while collaborating with key stakeholders. Resolve technical issues as necessary. Perform all other duties as assigned. Must-Have Skills Strong proficiency in Angular 1.X (70% Angular and 30% Java OR 50% Angular and 50% Java). Java/J2EE; Familiarity with Singleton and MVC design patterns. Strong proficiency in SQL and/or MySQL, including optimization techniques (at least MySQL). Experience using tools such as Eclipse, GIT, Postman, JIRA, and Confluence. Knowledge of test-driven development. Solid understanding of object-oriented programming. Good-to-Have Skills Expertise in Spring Boot, Microservices, and API development. Familiarity with OAuth2.0 patterns (experience with at least 2 patterns). Knowledge of Graph Databases (e.g., Neo4J, Apache Tinkerpop, Gremlin). Experience with Kafka messaging. Familiarity with Docker, Kubernetes, and cloud development. Experience with CI/CD tools like Jenkins and GitHub Actions. Knowledge of industry-wide technology trends and best practices. Experience Range 4 to 7 years of relevant experience in software development or software architecture. Education Bachelor’s degree in Engineering, Computer Science, or equivalent experience. Additional Information Strong communication skills, both oral and written. Ability to interface competently with internal and external technology resources. Advanced knowledge of software development methodologies (Agile, etc.). Experience in setting up and maintaining distributed applications in Unix/Linux environments. Ability to complete complex bug fixes and support production issues. Skills Angular 1.X,Java 11+,Sql The expectation is 60-70% in Angular primarily and 30-40% in Java. Show more Show less