572 Bigquery Jobs

Shift: (GMT+05:30) Asia/Kolkata (IST) What do you need for this opportunity? Must have skills required: Machine Learning, ML, ml architectures and lifecycle, Airflow, Kubeflow, MLFlow, Spark, Kubernetes, Docker, Python, SQL, machine learning platforms, BigQuery, GCS, Dataproc, AI Platform, Search Ranking, Deep Learning, Deep Learning Frameworks, PyTorch, TensorFlow About the job Candidates for this position are preferred to be based in Bangalore, India and will be expected to comply with their team's hybrid work schedule requirements. Who We Are Wayfairs Advertising business is rapidly expanding, adding hundreds of millions of dollars in profits to Wayfair. We are building Sponsored Products, Display & Video Ad offerings that cater to a variety of Advertiser goals while showing highly relevant and engaging Ads to millions of customers. We are evolving our Ads Platform to empower advertisers across all sophistication levels to grow their business on Wayfair at a strong, positive ROI and are leveraging state of the art Machine Learning techniques. What youll do Provide technical leadership in the development of an automated and intelligent advertising system by advancing the state-of-the-art in machine learning techniques to support recommendations for Ads campaigns and other optimizations. Design, build, deploy and refine extensible, reusable, large-scale, and real-world platforms that optimize our ads experience. Work cross-functionally with commercial stakeholders to understand business problems or opportunities and develop appropriately scoped machine learning solutions Collaborate closely with various engineering, infrastructure, and machine learning platform teams to ensure adoption of best-practices in how we build and deploy scalable machine learning services Identify new opportunities and insights from the data (where can the models be improved? What is the projected ROI of a proposed modification?) Research new developments in advertising, sort and recommendations research and open-source packages, and incorporate them into our internal packages and systems. Be obsessed with the customer and maintain a customer-centric lens in how we frame, approach, and ultimately solve every problem we work on. We Are a Match Because You Have: Bachelor's or Masters degree in Computer Science, Mathematics, Statistics, or related field. 6-9 years of industry experience in advanced machine learning and statistical modeling, including hands-on designing and building production models at scale. Strong theoretical understanding of statistical models such as regression, clustering and machine learning algorithms such as decision trees, neural networks, etc. Familiarity with machine learning model development frameworks, machine learning orchestration and pipelines with experience in either Airflow, Kubeflow or MLFlow as well as Spark, Kubernetes, Docker, Python, and SQL. Proficiency in Python or one other high-level programming language Solid hands-on expertise deploying machine learning solutions into production Strong written and verbal communication skills, ability to synthesize conclusions for non-experts, and overall bias towards simplicity Nice to have Familiarity with Machine Learning platforms offered by Google Cloud and how to implement them on a large scale (e.g. BigQuery, GCS, Dataproc, AI Notebooks). Experience in computational advertising, bidding algorithms, or search ranking Experience with deep learning frameworks like PyTorch, Tensorflow, etc.

About the Role: We are looking for a skilled and motivated Data Engineer with strong experience in Python programming and Google Cloud Platform (GCP) to join our data engineering team. The ideal candidate will be responsible for designing, developing, and maintaining robust and scalable ETL (Extract, Transform, Load) data pipelines. The role involves working with various GCP services, implementing data ingestion and transformation logic, and ensuring data quality and consistency across systems. Key Responsibilities: Design, develop, test, and maintain scalable ETL data pipelines using Python. Work extensively on Google Cloud Platform (GCP) services such as: Dataflow for real-time and batch data processing Cloud Functions for lightweight serverless compute BigQuery for data warehousing and analytics Cloud Composer for orchestration of data workflows (based on Apache Airflow) Google Cloud Storage (GCS) for managing data at scale IAM for access control and security Cloud Run for containerized applications Perform data ingestion from various sources and apply transformation and cleansing logic to ensure high-quality data delivery. Implement and enforce data quality checks, validation rules, and monitoring. Collaborate with data scientists, analysts, and other engineering teams to understand data needs and deliver efficient data solutions. Manage version control using GitHub and participate in CI/CD pipeline deployments for data projects. Write complex SQL queries for data extraction and validation from relational databases such as SQL Server, Oracle, or PostgreSQL. Document pipeline designs, data flow diagrams, and operational support procedures. Required Skills: 4-6 years of hands-on experience in Python for backend or data engineering projects. Strong understanding and working experience with GCP cloud services (especially Dataflow, BigQuery, Cloud Functions, Cloud Composer, etc.). Solid understanding of data pipeline architecture, data integration, and transformation techniques. Experience in working with version control systems like GitHub and knowledge of CI/CD practices. Strong experience in SQL with at least one enterprise database (SQL Server, Oracle, PostgreSQL, etc.). Good to Have (Optional Skills): Experience working with Snowflake cloud data platform. Hands-on knowledge of Databricks for big data processing and analytics. Familiarity with Azure Data Factory (ADF) and other Azure data engineering tools.

Key Responsibilities 1. Designing technology systems: Plan and design the structure of technology solutions, and work with design and development teams to assist with the process. 2. Communicating: Communicate system requirements to software development teams, and explain plans to developers and designers. They also communicate the value of a solution to stakeholders and clients. 3. Managing Stakeholders: Work with clients and stakeholders to understand their vision for the systems. Should also manage stakeholder expectations. 4. Architectural Oversight: Develop and implement robust architectures for AI/ML and data science solutions, ensuring scalability, security, and performance. Oversee architecture for data-driven web applications and data science projects, providing guidance on best practices in data processing, model deployment, and end-to-end workflows. 5. Problem Solving: Identify and troubleshoot technical problems in existing or new systems. Assist with solving technical problems when they arise. 6. Ensuring Quality: Ensure if systems meet security and quality standards. Monitor systems to ensure they meet both user needs and business goals. 7. Project management: Break down project requirements into manageable pieces of work, and organise the workloads of technical teams. 8. Tool & Framework Expertise: Utilise relevant tools and technologies, including but not limited to LLMs, TensorFlow, PyTorch, Apache Spark, cloud platforms (AWS, Azure, GCP), Web App development frameworks and DevOps practices. 9. Continuous Improvement: Stay current on emerging technologies and methods in AI, ML, data science, and web applications, bringing insights back to the team to foster continuous improvement. Technical Skills 1. Proficiency in AI/ML frameworks such as TensorFlow, PyTorch, Keras, and scikit-learn for developing machine learning and deep learning models. 2. Knowledge or experience working with self-hosted or managed LLMs. 3. Knowledge or experience with NLP tools and libraries (e.g., SpaCy, NLTK, Hugging Face Transformers) and familiarity with Computer Vision frameworks like OpenCV and related libraries for image processing and object recognition. 4. Experience or knowledge in back-end frameworks (e.g., Django, Spring Boot, Node.js, Express etc.) and building RESTful and GraphQL APIs. 5. Familiarity with microservices, serverless, and event-driven architectures. Strong understanding of design patterns (e.g., Factory, Singleton, Observer) to ensure code scalability and reusability. 6. Proficiency in modern front-end frameworks such as React, Angular, or Vue.js, with an understanding of responsive design, UX/UI principles, and state management (e.g., Redux) 7. In-depth knowledge of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra), as well as caching solutions (e.g., Redis, Memcached). 8. Expertise in tools such as Apache Spark, Hadoop, Pandas, and Dask for large-scale data processing. 9. Understanding of data warehouses and ETL tools (e.g., Snowflake, BigQuery, Redshift, Airflow) to manage large datasets. 10. Familiarity with visualisation tools (e.g., Tableau, Power BI, Plotly) for building dashboards and conveying insights. 11. Knowledge of deploying models with TensorFlow Serving, Flask, FastAPI, or cloud-native services (e.g., AWS SageMaker, Google AI Platform). 12. Familiarity with MLOps tools and practices for versioning, monitoring, and scaling models (e.g., MLflow, Kubeflow, TFX). 13. Knowledge or experience in CI/CD, IaC and Cloud Native toolchains. 14. Understanding of security principles, including firewalls, VPC, IAM, and TLS/SSL for secure communication. 15. Knowledge of API Gateway, service mesh (e.g., Istio), and NGINX for API security, rate limiting, and traffic management.

SUMMARY Job Summary: Exciting job opportunity as a Registered Nurse in Qatar (Homecare) Key Responsibilities: Develop and assess nursing care plans Monitor vital signs and assess holistic patient needs Collaborate with physicians, staff nurses, and healthcare team members Administer oral and subcutaneous medications while ensuring safety Document nursing care, medications, and procedures using the company's Nurses Buddy application Conduct client assessment and reassessment using approved tools Attend refresher training courses, seminars, and training Timeline for Migration: Application to Selection: Not more than 5 days Data flow & Prometric: 1 month Visa processing: 1-2 months Start working in Qatar within 3 months! Requirements: Educational Qualification: Bachelor's Degree in Nursing or GNM Experience: Minimum 2 years working experience as a Nurse post registration Citizenship: Indian Age limit: 18 to 40 years Certification: registration Certification from Nursing Council Language: Basic English proficiency required Technical Skills: Bed side nursing, patient care, patient assessment and monitoring Benefits: High Salary & Perks: Earn 5000 QAR / month (1,18,000 INR/month) Tax Benefit: No tax deduction on salary Career Growth: Advanced Nursing career in Qatar with competitive salaries, cutting-edge facilities, and opportunities for specialization Relocation support: Visa process and flight sponsored. Free accommodation and transportation provided. International Work Experience: Boost your resume with International healthcare expertise. Comprehensive Health Insurance: Medical coverage for under Qatar’s healthcare system. Safe and stable environment: Qatar is known for its low crime rate, political stability, and high quality of life. The strict laws in the country, makes it one of safest place to live. Faster Visa Processing With efficient government procedures, work visas for nurses are processed quickly, reducing waiting times. Simplified Licensing Process Compared to other countries, Qatar offers a streamlined process for obtaining a nursing license through QCHP (Qatar Council for Healthcare Practitioners) . Direct Hiring Opportunities Many hospitals and healthcare facilities offer direct recruitment , minimizing third-party delays and complications. Limited slots available! Apply now to secure your place in the next batch of Nurses migrating to Qatar!

SUMMARY Job Summary: Exciting job opportunity as a Registered Nurse in Qatar (Homecare) Key Responsibilities: Develop and assess nursing care plans Monitor vital signs and assess holistic patient needs Collaborate with physicians, staff nurses, and healthcare team members Administer oral and subcutaneous medications while ensuring safety Document nursing care, medications, and procedures using the company's Nurses Buddy application Conduct client assessment and reassessment using approved tools Attend refresher training courses, seminars, and training Timeline for Migration: Application to Selection: Not more than 5 days Data flow & Prometric: 1 month Visa processing: 1-2 months Start working in Qatar within 3 months! Requirements: Educational Qualification: Bachelor's Degree in Nursing or GNM Experience: Minimum 2 years working experience as a Nurse post registration Citizenship: Indian Age limit: 18 to 40 years Certification: registration Certification from Nursing Council Language: Basic English proficiency required Technical Skills: Bed side nursing, patient care, patient assessment and monitoring Benefits: High Salary & Perks: Earn 5000 QAR / month (1,18,000 INR/month) Tax Benefit: No tax deduction on salary Career Growth: Advanced Nursing career in Qatar with competitive salaries, cutting-edge facilities, and opportunities for specialization Relocation support: Visa process and flight sponsored. Free accommodation and transportation provided. International Work Experience: Boost your resume with International healthcare expertise. Comprehensive Health Insurance: Medical coverage for under Qatar’s healthcare system. Safe and stable environment: Qatar is known for its low crime rate, political stability, and high quality of life. The strict laws in the country, makes it one of safest place to live. Faster Visa Processing With efficient government procedures, work visas for nurses are processed quickly, reducing waiting times. Simplified Licensing Process Compared to other countries, Qatar offers a streamlined process for obtaining a nursing license through QCHP (Qatar Council for Healthcare Practitioners) . Direct Hiring Opportunities Many hospitals and healthcare facilities offer direct recruitment , minimizing third-party delays and complications. Limited slots available! Apply now to secure your place in the next batch of Nurses migrating to Qatar!

Position: GCP Data Engineer Experience: 5-10 years Location: Bangalore, Chennai, Pune, Mumbai and Hyderabad Skills: Python SQL Pyspark ETL GCP 1 Extensive hands on experience in object oriented programming using Python PySpark APIs 2 Experience in building data pipelines for huge volume of data 3 Deep understanding of ETL concepts data warehousing principles SQL 4 Hands on experience in writing basic to advance level of optimized queries using SQL BigQuery 5 Hands on experience in developing solutions using Dataflow Dataproc and BigQuery

Warm Greetings from SP Staffing!! Role :Data Scientist Experience Required :5 to 10 yrs Work Location :Hyderabad/Bangalore/Chennai Required Skills, Python GCP AI Platform, BigQuery ML, Cloud AutoML, and Vertex AI. Interested candidates can send resumes to nandhini.spstaffing@gmail.com

Design, deliver & maintain the appropriate data solution to provide the correct data for analytical development to address key issues within the organization Gather detailed data requirements with a cross-functional team to deliver quality results. Required Candidate profile Strong experience with cloud services within Azure, AWS, or GCP platforms (preferably Azure) Strong experience with analytical tool (preferably SQL, dbt, Snowflake, BigQuery, Tableau)

DataBricks , Azure, Big query (Need to be good with SQL ) , Python , Familiar with Data science concepts or implementations .

Job Summary: We are looking for a highly skilled GCP Data Engineer with expertise in data migration and transformation to join our growing data engineering team. This role focuses on designing and implementing robust, scalable, and efficient data pipelines that transform and load data into BigQuery while ensuring data integrity , lineage , and performance optimization . The ideal candidate will be proficient in Python , SQL , and GCP services , particularly BigQuery and Cloud Composer (Airflow) . Key Responsibilities: Design and implement data migration strategies to transition datasets from legacy systems to Google Cloud Platform (GCP) . Develop and optimize ETL/ELT pipelines using Python , SQL , and Airflow (Cloud Composer) . Load structured and semi-structured data into BigQuery , ensuring high performance, accuracy, and scalability. Automate data lineage extraction , monitoring, and reporting to maintain transparency and traceability of data movement. Ensure data quality and integrity across multiple systems and transformations. Leverage native GCP tools and services for data ingestion, transformation, orchestration, and monitoring. Collaborate with architects, analysts, and business stakeholders to define and implement data models that meet business requirements. Monitor pipeline performance and troubleshoot issues in a production environment. Follow best practices for data warehousing , security , and governance on cloud platforms. Contribute to ongoing improvements in development practices, documentation, and team processes. Required Qualifications: Bachelors or Masters degree in Computer Science, Engineering, Information Systems, or related field. 36 years of experience in data engineering with a focus on cloud data platforms. Strong hands-on experience with Google Cloud Platform (GCP) , especially BigQuery , Cloud Storage , Dataflow , and Cloud Composer (Airflow) . Proficiency in Python for data engineering and scripting. Solid SQL skills for data querying, analysis, and transformation. Experience building scalable and efficient data pipelines and data warehousing solutions . Understanding of ETL/ELT design patterns , data partitioning , and performance tuning . Familiarity with data governance , lineage tracking , and data cataloging . Preferred Qualifications: Experience with Terraform or Infrastructure-as-Code (IaC) in GCP environments. Exposure to streaming data tools like Pub/Sub or Kafka . Familiarity with CI/CD pipelines for data engineering. Knowledge of data modeling concepts (e.g., star/snowflake schema). GCP Data Engineer certification is a plus.

Warm Greetings from SP Staffing Services Private Limited!! We have an urgent opening with our CMMI Level5 client for the below position. Please send your update profile if you are interested. Relevant Experience: 5 - 15 Yrs Location: Pan India Job Description: Minimum 2 years hands on experience in GCP Development ( Data Engineering ) Position : Developer / Tech Lead / Architect Interested can share your resume to sankarspstaffings@gmail.com with below inline details. Over All Exp : Relevant Exp : Current CTC : Expected CTC : Notice Period :

JD for Data Engineer (Python + ETL): Role : SDET (Data Quality Engineer) EXP : 5 to 12 Years Primary Skills : Hands-on experience with Data Testing either with Python or Pyspark. Deep understanding of data test concepts primarily inclined towards ETL . Hands-on with ETL/DWH testing and SQL (any RDBMS) Hands-on experience with any DB, preferably Oracle and should be able to read/understand/alter stored procedures. Strong experience in BDD with Cucumber or similar framework Experience in Azure DevOps to integrating automated testing into a CI/CD pipeline using Jenkins orGitLab runner. Good Knowledge in GCP Storage Buckets, Dataflow and Cloud Function. Good Knowledge in BigQuery. Hands-on experience with one of more programming languages (Java / JavaScript) Proven experience and ability to create best practices and policies to improve quality at program level. Strong technical skills and ability to solve Quality Engineering technical problems. Strong problem-solving skills and managing multiple stakeholders. Excellent communication skills and should be able to manage client stakeholders and act as a liaison between QE team and clients. Experience managing mid-size team of QAs working on multiple products. Accomplishes quality assurance objectives by monitoring, reviewing, and enforcing policies and procedures. Analyze production data to identify areas of growth. Excellent data analyzing and review skills. Experience of working in an agile environment and the role of QA in agile ceremonies Knowledge on Jira, Zephyr for Test Management Proficient Testing experience

Join us in bringing joy to customer experience. Five9 is a leading provider of cloud contact center software, bringing the power of cloud innovation to customers worldwide, Living our values everyday results in our team-first culture and enables us to innovate, grow, and thrive while enjoying the journey together. We celebrate diversity and foster an inclusive environment, empowering our employees to be their authentic selves, The Data Engineer will help design and implement a Google Cloud Platform (GCP) Data Lake, build scalable data pipelines, and ensure seamless access to data for business intelligence and data science tools. They will support a wide range of projects while collaborating closely with management teams and business leaders. The ideal candidate will have a strong understanding of data engineering principles, data warehousing concepts, and the ability to document technical knowledge into clear processes and procedures, This position is based out of one of the offices of our affiliate Acqueon Technologies in India, and will adopt the hybrid work arrangements of that location. You will be a member of the Acqueon team with responsibilities supporting Five9 products, collaborating with global teammates based primarily in the United States, Responsibilities. Design, implement, and maintain a scalable Data Lake on GCP to centralize structured and unstructured data from various sources (databases, APIs, cloud storage), Utilize GCP services including BigQuery, Dataflow, Pub/Sub, and Cloud Storage to optimize and manage data workflows, ensuring scalability, performance, and security, Collaborate closely with data analytics and data science teams to understand data needs, ensuring data is properly prepared for consumption by various systems (e-g. DOMO, Looker, Databricks). Implement best practices for data quality, consistency, and governance across all data pipelines and systems, ensuring compliance with internal and external standards, Continuously monitor, test, and optimize data workflows to improve performance, cost efficiency, and reliability, Maintain comprehensive technical documentation of data pipelines, systems, and architecture for knowledge sharing and future development, Requirements. Bachelor's degree in Computer Science, Data Engineering, Data Science, or a related quantitative field (e-g. Mathematics, Statistics, Engineering), 3+ years of experience using GCP Data Lake and Storage Services. Certifications in GCP are preferred (e-g. Professional Cloud Developer, Professional Cloud Database Engineer), Advanced proficiency with SQL, with experience in writing complex queries, optimizing for performance, and using SQL in large-scale data processing workflows, Proficiency in programming languages such as Python, Java, or Scala, with practical experience building data pipelines, automating data workflows, and integrating APIs for data ingestion, Five9 embraces diversity and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better we are. Five9 is an equal opportunity employer, View our privacy policy, including our privacy notice to California residents here: https://www,five9,/pt-pt/legal, Note: Five9 will never request that an applicant send money as a prerequisite for commencing employment with Five9, Show more Show less

Join us in bringing joy to customer experience. Five9 is a leading provider of cloud contact center software, bringing the power of cloud innovation to customers worldwide, Living our values everyday results in our team-first culture and enables us to innovate, grow, and thrive while enjoying the journey together. We celebrate diversity and foster an inclusive environment, empowering our employees to be their authentic selves, The Data Engineer will help design and implement a Google Cloud Platform (GCP) Data Lake, build scalable data pipelines, and ensure seamless access to data for business intelligence and data science tools. They will support a wide range of projects while collaborating closely with management teams and business leaders. The ideal candidate will have a strong understanding of data engineering principles, data warehousing concepts, and the ability to document technical knowledge into clear processes and procedures, This position is based out of one of the offices of our affiliate Acqueon Technologies in India, and will adopt the hybrid work arrangements of that location. You will be a member of the Acqueon team with responsibilities supporting Five9 products, collaborating with global teammates based primarily in the United States, Responsibilities. Design, implement, and maintain a scalable Data Lake on GCP to centralize structured and unstructured data from various sources (databases, APIs, cloud storage), Utilize GCP services including BigQuery, Dataflow, Pub/Sub, and Cloud Storage to optimize and manage data workflows, ensuring scalability, performance, and security, Collaborate closely with data analytics and data science teams to understand data needs, ensuring data is properly prepared for consumption by various systems (e-g. DOMO, Looker, Databricks). Implement best practices for data quality, consistency, and governance across all data pipelines and systems, ensuring compliance with internal and external standards, Continuously monitor, test, and optimize data workflows to improve performance, cost efficiency, and reliability, Maintain comprehensive technical documentation of data pipelines, systems, and architecture for knowledge sharing and future development, Requirements. Bachelor's degree in Computer Science, Data Engineering, Data Science, or a related quantitative field (e-g. Mathematics, Statistics, Engineering), 4+ years of experience using GCP Data Lake and Storage Services. Certifications in GCP are preferred (e-g. Professional Cloud Developer, Professional Cloud Database Engineer), Advanced proficiency with SQL, with experience in writing complex queries, optimizing for performance, and using SQL in large-scale data processing workflows, Proficiency in programming languages such as Python, Java, or Scala, with practical experience building data pipelines, automating data workflows, and integrating APIs for data ingestion, Five9 embraces diversity and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better we are. Five9 is an equal opportunity employer, View our privacy policy, including our privacy notice to California residents here: https://www,five9,/pt-pt/legal, Note: Five9 will never request that an applicant send money as a prerequisite for commencing employment with Five9, Show more Show less

Our Company. We’re Hitachi Digital, a company at the forefront of digital transformation and the fastest growing division of Hitachi Group. We’re crucial to the company’s strategy and ambition to become a premier global player in the massive and fast-moving digital transformation market.. Our group companies, including GlobalLogic, Hitachi Digital Services, Hitachi Vantara and more, offer comprehensive services that span the entire digital lifecycle, from initial idea to full-scale operation and the infrastructure to run it on. Hitachi Digital represents One Hitachi, integrating domain knowledge and digital capabilities, and harnessing the power of the entire portfolio of services, technologies, and partnerships, to accelerate synergy creation and make real-world impact for our customers and society as a whole.. Imagine the sheer breadth of talent it takes to unleash a digital future. We don’t expect you to ‘fit’ every requirement – your life experience, character, perspective, and passion for achieving great things in the world are equally as important to us.. The team. We are seeking a talented and experienced Full Stack Developer to join our team, specializing in low-code/no-code process automation. The ideal candidate will be responsible for designing, developing, and implementing solutions using the Appian platform to streamline and automate business processes. This role involves working closely with business stakeholders to understand their requirements and deliver efficient, scalable, and user-friendly applications. Additionally, the candidate should have prior experience in building digital apps on Google Cloud Platform (GCP), Graph DB, and leveraging advanced technologies.. The role: Full Stack Developer/Specialist. Responsibilities. Design, develop, and maintain applications using the Appian low-code platform.. Collaborate with business stakeholders to gather requirements and translate them into technical specifications and functional designs.. Implement end-to-end solutions, including front-end interfaces and back-end services, ensuring seamless integration and functionality.. Develop and maintain custom components and integrations using Java, JavaScript, and other relevant technologies.. Optimize applications for performance, scalability, and user experience.. Conduct system testing, validation, and troubleshooting to ensure the quality and performance of solutions.. Provide training and support to end-users and IT staff on Appian functionalities and best practices.. Stay up-to-date with the latest developments in Appian, low-code/no-code platforms, and industry trends.. Participate in project planning, execution, and post-implementation support.. Mentor and guide junior developers, fostering a culture of continuous learning and improvement.. Qualifications. What you’ll bring. Bachelor’s degree in Computer Science, Information Technology, or a related field. A Master’s degree is a plus.. Proven experience as a Full Stack Developer with a strong portfolio of low-code/no-code applications.. Expertise in Appian development and customisation.. Proficiency in Java, JavaScript, and other relevant programming languages.. Strong understanding of front-end technologies such as HTML, CSS, and modern JavaScript frameworks.. Experience with RESTful APIs and web services.. Excellent problem-solving skills and attention to detail.. Strong communication and collaboration skills.. Ability to work independently and as part of a team in a fast-paced environment.. Prior experience in building custom digital apps with a strong SQL background leveraging Graph DB, BigQuery, and PostgresSQL is required.. Prior experience in building AI applications is a plus.. Prior experience with automation tools like UIPath is a plus.. Working knowledge of AI/Machine Learning, with a focus on Agentic AI, is a plus.. Preferred Skills. Certification in Appian development.. Experience with other low-code/no-code platforms.. Knowledge of DevOps practices and tools, including CI/CD pipelines.. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.. Experience with Agile development methodologies.. About Us. We’re a global, 1000-strong, diverse team of professional experts, promoting and delivering Social Innovation through our One Hitachi initiative (OT x IT x Product) and working on projects that have a real-world impact. We’re curious, passionate and empowered, blending our legacy of 110 years of innovation with our shaping our future. Here you’re not just another employee; you’re part of a tradition of excellence and a community working towards creating a digital future.. Championing diversity, equity, and inclusion. Diversity, equity, and inclusion (DEI) are integral to our culture and identity. Diverse thinking, a commitment to allyship, and a culture of empowerment help us achieve powerful results. We want you to be you, with all the ideas, lived experience, and fresh perspective that brings. We support your uniqueness and encourage people from all backgrounds to apply and realize their full potential as part of our team.. How We Look After You. We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We’re also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We’re always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you’ll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with.. We’re proud to say we’re an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success.. Show more Show less

About Us :. At TELUS Digital, we enable customer experience innovation through spirited teamwork, agile thinking, and a caring culture that puts customers first. TELUS Digital is the global arm of TELUS Corporation, one of the largest telecommunications service providers in Canada. We deliver contact center and business process outsourcing (BPO) solutions to some of the world's largest corporations in the consumer electronics, finance, telecommunications and utilities sectors. With global call center delivery capabilities, our multi-shore, multi-language programs offer safe, secure infrastructure, value-based pricing, skills-based resources and exceptional customer service all backed by TELUS, our multi-billion dollar telecommunications parent.. Required Skills :. Minimum 6 years of experience in Architectecture, Design and building data extraction, loading, and transformation pipelines and data products across on-prem and cloud platforms.. Perform application impact assessments, requirements reviews, and develop work estimates.. Develop test strategies and site reliability engineering measures for data products and solutions.. Lead agile development "scrums" and solution reviews.. Mentor junior Data Engineering Specialists.. Lead the resolution of critical operations issues, including post-implementation reviews.. Perform technical data stewardship tasks, including metadata management, security, and privacy by design.. Demonstrate expertise in SQL and database proficiency in various data engineering tasks.. Automate complex data workflows by setting up DAGs in tools like Control-M, Apache Airflow, and Prefect.. Develop and manage Unix scripts for data engineering tasks.. Intermediate proficiency in infrastructure-as-code tools like Terraform, Puppet, and Ansible to automate infrastructure deployment.. Proficiency in data modeling to support analytics and business intelligence.. Working knowledge of ML Ops to integrate machine learning workflows with data pipelines.. Extensive expertise in GCP technologies, including BigQuery, Cloud SQL, Dataflow, Data Catalog, Cloud. Composer, Google Cloud Storage, IAM, Compute Engine, Cloud Data Fusion, Dataproc (good to have), and BigTable.. Advanced proficiency in programming languages (Python).. Qualifications:. Bachelor's degree in Software Engineering, Computer Science, Business, Mathematics, or related field.. Analytics certification in BI or AI/ML.. 6+ years of data engineering experience.. 4 years of data platform solution architecture and design experience.. GCP Certified Data Engineer (preferred).. Show more Show less

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Hyderabad, Telangana, India.Minimum qualifications:. Bachelor's degree in Computer Science or equivalent practical experience.. Experience in automating infrastructure provisioning, Developer Operations (DevOps), integration, or delivery.. Experience in networking, compute infrastructure (e.g., servers, databases, firewalls, load balancers) and architecting, developing, or maintaining cloud solutions in virtualized environments.. Experience in scripting with Terraform and Networking, DevOps, Security, Compute, Storage, Hadoop, Kubernetes, or Site Reliability Engineering.. Preferred qualifications:. Certification in Cloud with experience in Kubernetes, Google Kubernetes Engine, or similar.. Experience with customer-facing migration including service discovery, assessment, planning, execution, and operations.. Experience with IT security practices like identity and access management, data protection, encryption, certificate and key management.. Experience with Google Cloud Platform (GCP) techniques like prompt engineering, dual encoders, and embedding vectors.. Experience in building prototypes or applications.. Experience in one or more of the following disciplines: software development, managing operating system environments (Linux or related), network design and deployment, databases, storage systems.. About the jobThe Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.. Responsibilities. Provide domain expertise in cloud platforms and infrastructure; solve cloud platform tests.. Work with customers to design and implement Cloud based technical architectures, migration approaches, and application optimizations that enable business objectives.. Be a technical advisor and perform troubleshooting to resolve technical tests for customers.. Create and deliver best practice recommendations, tutorials, blog articles, and sample code.. Travel up to 30% for in-region for meetings, technical reviews, and onsite delivery activities.. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .. Show more Show less

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Hyderabad, Telangana, India.Minimum qualifications:. Bachelor's degree in Computer Science or equivalent practical experience.. Experience in automating infrastructure provisioning, Developer Operations (DevOps), integration, or delivery.. Experience in networking, compute infrastructure (e.g., servers, databases, firewalls, load balancers) and architecting, developing, or maintaining cloud solutions in virtualized environments.. Experience in scripting with Terraform and Networking, DevOps, Security, Compute, Storage, Hadoop, Kubernetes, or Site Reliability Engineering.. Preferred qualifications:. Certification in Cloud with experience in Kubernetes, Google Kubernetes Engine, or similar.. Experience with customer-facing migration including service discovery, assessment, planning, execution, and operations.. Experience with IT security practices like identity and access management, data protection, encryption, certificate and key management.. Experience with Google Cloud Platform (GCP) techniques like prompt engineering, dual encoders, and embedding vectors.. Experience in building prototypes or applications.. Experience in one or more of the following disciplines: software development, managing operating system environments (Linux or related), network design and deployment, databases, storage systems.. About the jobThe Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.. Responsibilities. Provide domain expertise in cloud platforms and infrastructure; solve cloud platform tests.. Work with customers to design and implement Cloud based technical architectures, migration approaches, and application optimizations that enable business objectives.. Be a technical advisor and perform troubleshooting to resolve technical tests for customers.. Create and deliver best practice recommendations, tutorials, blog articles, and sample code.. Travel up to 30% for in-region for meetings, technical reviews, and onsite delivery activities.. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .. Show more Show less

From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.. About The Role. We’re looking for a Senior Software Development Engineer in Test with industry experience to join our team to collaborate and implement, develop and maintain Fivetran’s test automation tools and framework using reliable and scalable techniques.. As a Senior SDET in our Quality Engineering team, you will help the Database Connector team in enhancing and maintaining the Fivetran test automation framework developed utilizing the latest technologies such as Docker, Terraform, Java , Pytest and Python, by adding features to the framework utilizing different non UI open source libraries. In this role you will contribute in adding framework support for product development teams to add end-to-end tests and deliver in improving the quality of the product. You will play a major role in coaching Fivetran quality engineers to be the best in class automation engineers, and will continuously steer the team to ensure high standards for automation. The ideal candidate is highly technical, detail-oriented, creative, motivated, and focused on achieving results.. This is a full-time position based out of our Bangalore office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.. Technologies You’ll Use. Java, JUnit. PyTest and Python. Relational and Analytical databases such as Postgres, Oracle, Db2i. Snowflake, Bigquery and Databricks. Docker and Kubernetes. AWS, GCP. Terraform,. Grafana,. Dbeaver. SQL. Temporal. Jenkins, Bazel, Buildkite. What You’ll Do. Review requirements, specifications and technical design documents to provide timely and meaningful feedback.. Creates and maintains automated test cases in Java, Python and Pytest, executes test suites, reviews and diagnoses reported bugs, and ensures overall system quality prior to a customer release.. Build and share proof of concepts for test automation proposals and ideas.. Develop solutions and proposals to lead the automation development strategy and implementation that would help maximize Fivetran product’s quality.. Communicate, coordinate and align automation strategy with the engineering team members, make recommendations to improve reliability, best practices and processes.. Understand the customer use cases and incidents and come up with test scenarios as needed.. Actively engage with fellow engineers to ensure we are adding framework support to add new end-to-end tests that makes product development easier and improves quality.. Skills We’re Looking For. 6+ years of experience in the software industry with passion for quality and automation, preferably in Software Development Engineer in Test (SDET) role.. Strong knowledge and experience with OOPs concepts, preferably in Python and Java. Deep understanding of Database internals. Experience in understanding the existing test automation frameworks and delivering in improving the framework.. Expertise on developing different levels of automated tests, such as unit tests, functional tests, integration tests, system tests.. Experience in configuring and monitoring test automation jobs as part of CI/CD pipeline with continuous integration tools like Buildkite/Jenkins.. Experience in working on non UI automation frameworks.. Hands-on experience working with any cloud technologies(AWS, GCP,Azure) and containerization methodologies like docker, K8s is a plus. Knowledge of Database Testing, ETL software testing is an added plus.. Perks And Benefits. 100% employer-paid medical insurance. Generous paid time-off policy (PTO), plus paid sick time, inclusive parental leave policy, holidays, and volunteer days off. RSU stock grants*. Professional development and training opportunities. Company virtual happy hours, free food, and fun team-building activities. Monthly cell phone stipend. Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.. *May vary by country and worker type please reach out to your recruiter for more information. Click here to learn more about Fivetran's Benefits by Region.. We’re honored to be valued at over $5.6 billion, but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream. Read about us in Forbes.. Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video.. To learn more about our candidate privacy policy, you can read our statement here.. We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.. Show more Show less

Our Company. We’re Hitachi Digital, a company at the forefront of digital transformation and the fastest growing division of Hitachi Group. We’re crucial to the company’s strategy and ambition to become a premier global player in the massive and fast-moving digital transformation market.. Our group companies, including GlobalLogic, Hitachi Digital Services, Hitachi Vantara and more, offer comprehensive services that span the entire digital lifecycle, from initial idea to full-scale operation and the infrastructure to run it on. Hitachi Digital represents One Hitachi, integrating domain knowledge and digital capabilities, and harnessing the power of the entire portfolio of services, technologies, and partnerships, to accelerate synergy creation and make real-world impact for our customers and society as a whole.. Imagine the sheer breadth of talent it takes to unleash a digital future. We don’t expect you to ‘fit’ every requirement – your life experience, character, perspective, and passion for achieving great things in the world are equally as important to us.. The team. We are seeking a talented and experienced Full Stack Developer to join our team, specializing in low-code/no-code process automation. The ideal candidate will be responsible for designing, developing, and implementing solutions using the Appian platform to streamline and automate business processes. This role involves working closely with business stakeholders to understand their requirements and deliver efficient, scalable, and user-friendly applications. Additionally, the candidate should have prior experience in building digital apps on Google Cloud Platform (GCP), Graph DB, and leveraging advanced technologies.. The role: Full Stack Developer/Specialist. Responsibilities:. Design, develop, and maintain applications using the Appian low-code platform.. Collaborate with business stakeholders to gather requirements and translate them into technical specifications and functional designs.. Implement end-to-end solutions, including front-end interfaces and back-end services, ensuring seamless integration and functionality.. Develop and maintain custom components and integrations using Java, JavaScript, and other relevant technologies.. Optimize applications for performance, scalability, and user experience.. Conduct system testing, validation, and troubleshooting to ensure the quality and performance of solutions.. Provide training and support to end-users and IT staff on Appian functionalities and best practices.. Stay up-to-date with the latest developments in Appian, low-code/no-code platforms, and industry trends.. Participate in project planning, execution, and post-implementation support.. Mentor and guide junior developers, fostering a culture of continuous learning and improvement.. What You’ll Bring. Qualifications:. Bachelor’s degree in Computer Science, Information Technology, or a related field. A Master’s degree is a plus.. Proven experience as a Full Stack Developer with a strong portfolio of low-code/no-code applications.. Expertise in Appian development and customisation.. Proficiency in Java, JavaScript, and other relevant programming languages.. Strong understanding of front-end technologies such as HTML, CSS, and modern JavaScript frameworks.. Experience with RESTful APIs and web services.. Excellent problem-solving skills and attention to detail.. Strong communication and collaboration skills.. Ability to work independently and as part of a team in a fast-paced environment.. Prior experience in building custom digital apps with a strong SQL background leveraging Graph DB, BigQuery, and PostgresSQL is required.. Prior experience in building AI applications is a plus.. Prior experience with automation tools like UIPath is a plus.. Working knowledge of AI/Machine Learning, with a focus on Agentic AI, is a plus.. Preferred Skills. Certification in Appian development.. Experience with other low-code/no-code platforms.. Knowledge of DevOps practices and tools, including CI/CD pipelines.. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.. Experience with Agile development methodologies.. About Us. We’re a global, 1000-strong, diverse team of professional experts, promoting and delivering Social Innovation through our One Hitachi initiative (OT x IT x Product) and working on projects that have a real-world impact. We’re curious, passionate and empowered, blending our legacy of 110 years of innovation with our shaping our future. Here you’re not just another employee; you’re part of a tradition of excellence and a community working towards creating a digital future.. Championing diversity, equity, and inclusion. Diversity, equity, and inclusion (DEI) are integral to our culture and identity. Diverse thinking, a commitment to allyship, and a culture of empowerment help us achieve powerful results. We want you to be you, with all the ideas, lived experience, and fresh perspective that brings. We support your uniqueness and encourage people from all backgrounds to apply and realize their full potential as part of our team.. How We Look After You. We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We’re also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We’re always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you’ll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with.. We’re proud to say we’re an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success.. Show more Show less

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Pune, Maharashtra, India.Minimum qualifications:. Bachelor’s degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.. 2 years of experience in infrastructure, containerization (e.g., Kubernetes, Openshift, etc.) and web technologies.. 2 years of experience in a customer-facing role with troubleshooting, code-reading and debugging in Python, Shell, Bash, Java or C/C++.. Experience with Operating System (OS) like Linux Networking and System Design (e.g., infrastructure design, low level design/high level design, load balancers, Content Delivery Network (CDN), Denial of Service (DOS) protectors, etc.).. Preferred qualifications:. Certification in Kubernetes Application Developement (CKAD), Kubernetes Administrator (CKA) or Kubernetes Security.. Experience with Google Kubernetes Engine, Kubernetes or Openshift.. Experience with Anthos and Developer Operations.. About the jobThe Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.. In this role, you will be the part of a global team that provides support to help customers make the switch to Google Cloud. You will ensure that we have the necessary tools and processes to resolve the issue.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.. Responsibilities. Work with customers on their production Google Kubernetes Engine (GKE)/Anthos deployments to resolve issues and achieve product readiness, availability, and scale.. Develop an understanding of Google Cloud's GKE/Anthos product technology and underlying architectures by troubleshooting, reproducing, and determining the root cause for customer-reported issues, building tools, and diagnosis.. Act as consultant and subject matter expert for internal stakeholders in engineering, business, customer organizations to resolve technical deployment obstacles and improve Google Cloud.. Work as a team of engineers/consultants that ensure customer support. Work non-standard work hours/shifts, and may include weekend work.. Understand customer issues, advocate for their needs with internal teams, including product and engineering teams, to find ways to improve the product, and drive production.. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .. Show more Show less

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Pune, Maharashtra, India.Minimum qualifications:. Bachelor’s degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.. 2 years of experience in infrastructure, containerization (e.g., Kubernetes, Openshift, etc.) and web technologies.. 2 years of experience in a customer-facing role with troubleshooting, code-reading and debugging in Python, Shell, Bash, Java or C/C++.. Experience with Operating System (OS) like Linux Networking and System Design (e.g., infrastructure design, low level design/high level design, load balancers, Content Delivery Network (CDN), Denial of Service (DOS) protectors, etc.).. Preferred qualifications:. Certification in Kubernetes Application Developement (CKAD), Kubernetes Administrator (CKA) or Kubernetes Security.. Experience with Google Kubernetes Engine, Kubernetes or Openshift.. Experience with Anthos and Developer Operations.. About the jobThe Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.. In this role, you will be the part of a global team that provides support to help customers make the switch to Google Cloud. You will ensure that we have the necessary tools and processes to resolve the issue.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.. Responsibilities. Work with customers on their production Google Kubernetes Engine (GKE)/Anthos deployments to resolve issues and achieve product readiness, availability, and scale.. Develop an understanding of Google Cloud's GKE/Anthos product technology and underlying architectures by troubleshooting, reproducing, and determining the root cause for customer-reported issues, building tools, and diagnosis.. Act as consultant and subject matter expert for internal stakeholders in engineering, business, customer organizations to resolve technical deployment obstacles and improve Google Cloud.. Work as a team of engineers/consultants that ensure customer support. Work non-standard work hours/shifts, and may include weekend work.. Understand customer issues, advocate for their needs with internal teams, including product and engineering teams, to find ways to improve the product, and drive production.. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .. Show more Show less

About Aeris:. The Internet of Things (IoT) will unlock trillions of dollars in value over the next 10 years as 50 billion devices are brought online. Aeris is at the forefront of this industry, building networks and applications to enable Fortune 500 clients like Chrysler, Honda and Bosch fundamentally improve their businesses. Headquartered in Silicon Valley with offices in Bucharest, Chicago, London, Delhi, Bangalore, Helsinki, and Tokyo as well as other markets. We rank among the top ten cellular providers for the IoT globally, powering critical projects across energy, transportation, retail, healthcare and more.. Built from the ground up for IoT and road-tested at scale, Aeris IoT Services are based on the broadest technology stack in the industry, spanning connectivity up to vertical solutions. As veterans of the industry, we know that implementing an IoT solution can be complex, and we pride ourselves on making it simpler. Our company is in an enviable spot. We’re profitable, and both our bottom line and our global reach are growing rapidly. We’re playing in an exploding market where technology evolves daily and new IoT solutions and platforms are being created at a fast-pace.. A few things to know about us:. We put our customers first. When making decisions, we always seek to do what is right for our customer first, our company second, our teams third, and individual selves last.. We do things differently. As a pioneer in a highly-competitive industry that is poised to reshape every sector of the global economy, we cannot fall back on old models. Rather, we must chart our own path and strive to out-innovate, out-learn, out-maneuver and out-pace the competition on the way.. We walk the walk on diversity. We’re a brilliant and eclectic mix of ethnicities, religions, industry experiences, sexual orientations, generations and more – and that’s by design. We see diverse perspectives as a core competitive advantage.. Integrity is essential. We believe in doing things well – and doing them right. Integrity is a core value here: you’ll see it embodied in our staff, our management approach and growing social impact work (we have a VP devoted to it). You’ll also see it embodied in the way we manage people and our HR issues: we expect employees and managers to deal with issues directly, immediately and with the utmost respect for each other and for the Company.. We are owners. Strong managers enable and empower their teams to figure out how to solve problems. You will be no exception, and will have the ownership, accountability and autonomy needed to be truly creative.. Aeris is looking for experienced and highly motivated CloudOps Engineer to join our team. The ideal candidate will have extensive knowledge and hands-on experience with Cloud Platform (GCP/AWS/Azure) and cloud operations. As a CloudOps Engineer, you will be responsible for managing, optimizing, and ensuring the reliability of our cloud infrastructure. You will work closely with development, operations, and DevOps teams to implement best practices and improve system performance and availability.. Key Responsibilities. Cloud Infrastructure Management. Access Control: Implementing Cloud IAM, service accounts, and roles with the principle of least privilege.. Resource Management: Effectively managing projects, quotas, and policies.. Cloud Costs Management: Setting budget alerts and conducting cost analysis and reporting.. Periodic Audit: Performing regular audits to ensure compliance and optimize performance.. Security and Compliance. Security Strategy: Implementing and monitoring a comprehensive security strategy.. Alert and Threat Management: Overseeing Cloud Security Tools and managing the Threat Detection Dashboard.. Risk Assessment: Conducting threat models and risk assessments for cloud environments.. Security Testing: Supporting security testing, including penetration testing and code analysis, and implementing corrective measures.. Impact Analysis: Evaluating business impacts from security threats and vulnerabilities, communicating risks, and collaborating on security initiatives.. Cloud Operations. Automation and Scripting: Developing and maintaining automation scripts using tools like Terraform, Ansible, and custom scripts for provisioning and managing Cloud resources; implementing Infrastructure as Code (IaC) to automate deployment and configuration processes.. Monitoring and Logging: Setting up and configuring tools such as Cloud Native Monitoring Tools, Prometheus, and Grafana for monitoring, logging, and alerting; creating dashboards and reports to analyze system performance and resource utilization.. Incident Management and Troubleshooting: Responding to and resolving cloud infrastructure incidents; conducting root cause analysis and implementing corrective measures to prevent future incidents.. Collaboration and Support: Working closely with development, operations, and DevOps/SRE teams to provide cloud support and guidance; participating in on-call rotations for 24/7 critical infrastructure support.. Documentation and Training: Creating and maintaining comprehensive documentation for cloud infrastructure, processes, and procedures; providing training to team members on Cloud best practices and service usage.. Additionally, it emphasizes understanding:. Networking Principles and Protocols: Including IP subnetting, routing, firewall rules, and various cloud services such as virtual private cloud, load balancers, cloud DNS, and cloud CDN.. Knowledge Expansion: Continuously updating knowledge on cloud PaaS components.. Proof of Concepts: Delivering demonstrations for new cloud solutions.. Hybrid Cloud: Managing integration across multiple platforms like GCP, on-premises systems, AWS, and Azure.. Required Skills and Qualifications. Education: Bachelor’s degree in Computer Science, Information Technology, or a related field.. Experience:. Minimum of 10+ years of experience in IT infrastructure, with at least 5+ years in a CloudOps role.. Proven experience with Cloud (GCP/AWS/Azure) in a production environment.. Strong background in cloud operations, infrastructure management, and automation.. Technical Skills:. Proficiency in GCP/AWS/Azure services such as Compute Engine, Cloud Storage, VPC, Cloud Functions, Cloud Pub/Sub, and BigQuery.. Experience with automation and configuration management tools such as Terraform, Ansible, and Jenkins.. Strong scripting skills in languages such as Python, Bash, or Go.. Experience with monitoring and logging tools such as Stackdriver, Prometheus, Grafana, and ELK stack.. Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).. Soft Skills:. Strong problem-solving and troubleshooting abilities.. Excellent communication and collaboration skills.. Ability to work independently and in a team-oriented environment.. Preferred Qualifications. Google Cloud Professional certifications (e.g., Google Cloud Professional Cloud Architect, Google Cloud Professional DevOps Engineer).. Experience with DevOps practices and CI/CD pipelines.. Knowledge of security best practices and compliance standards.. Familiarity with other cloud platforms such as AWS or Azure.. What is in it for you?. You get to build the next leading edge connected vehicle platform and internet of things platform. The ability to collaborate with our highly skilled groups who work with cutting edge technologies. High visibility as you support the systems that drive our public facing services. Career growth opportunities. Aeris walks the walk on diversity. We’re a brilliant mix of varying ethnicities, religions, cultures, sexual orientations, gender identities, ages and professional/personal/military experiences – and that’s by design. Diverse perspectives are essential to our culture, innovative process and competitive edge. Aeris is proud to be an equal opportunity employer.. Show more Show less

About Us :. At TELUS Digital, we enable customer experience innovation through spirited teamwork, agile thinking, and a caring culture that puts customers first. TELUS Digital is the global arm of TELUS Corporation, one of the largest telecommunications service providers in Canada. We deliver contact center and business process outsourcing (BPO) solutions to some of the world's largest corporations in the consumer electronics, finance, telecommunications and utilities sectors. With global call center delivery capabilities, our multi-shore, multi-language programs offer safe, secure infrastructure, value-based pricing, skills-based resources and exceptional customer service all backed by TELUS, our multi-billion dollar telecommunications parent.. Required Skills:. Design, develop, and support data pipelines and related data products and platforms.. Design and build data extraction, loading, and transformation pipelines and data products across on-prem and cloud platforms.. Perform application impact assessments, requirements reviews, and develop work estimates.. Develop test strategies and site reliability engineering measures for data products and solutions.. Participate in agile development "scrums" and solution reviews.. Mentor junior Data Engineers.. Lead the resolution of critical operations issues, including post-implementation reviews.. Perform technical data stewardship tasks, including metadata management, security, and privacy by design.. Design and build data extraction, loading, and transformation pipelines using Python and other GCP Data Technologies. Demonstrate SQL and database proficiency in various data engineering tasks.. Automate data workflows by setting up DAGs in tools like Control-M, Apache Airflow, and Prefect.. Develop Unix scripts to support various data operations.. Model data to support business intelligence and analytics initiatives.. Utilize infrastructure-as-code tools such as Terraform, Puppet, and Ansible for deployment automation.. Expertise in GCP data warehousing technologies, including BigQuery, Cloud SQL, Dataflow, Data Catalog,. Cloud Composer, Google Cloud Storage, IAM, Compute Engine, Cloud Data Fusion and Dataproc (good to have).. Qualifications:. Bachelor's degree in Software Engineering, Computer Science, Business, Mathematics, or related field.. 4+ years of data engineering experience.. 2 years of data solution architecture and design experience.. GCP Certified Data Engineer (preferred).. Show more Show less

About Us :. At TELUS Digital, we enable customer experience innovation through spirited teamwork, agile thinking, and a caring culture that puts customers first. TELUS Digital is the global arm of TELUS Corporation, one of the largest telecommunications service providers in Canada. We deliver contact center and business process outsourcing (BPO) solutions to some of the world's largest corporations in the consumer electronics, finance, telecommunications and utilities sectors. With global call center delivery capabilities, our multi-shore, multi-language programs offer safe, secure infrastructure, value-based pricing, skills-based resources and exceptional customer service all backed by TELUS, our multi-billion dollar telecommunications parent.. Required Skills :. 5+ years of industry experience in data engineering, business intelligence, or a related field with experience in manipulating, processing, and extracting value from datasets.. Expertise in architecting, designing, building, and deploying internal applications to support technology life cycle management, service delivery management, data, and business intelligence.. Experience in developing modular code for versatile pipelines or complex ingestion frameworks aimed at loading data into Cloud SQL and managing data migration from multiple on-premises sources.. Strong collaboration with analysts and business process owners to translate business requirements into technical solutions.. Proficiency in coding with scripting languages (Shell scripting, Python, SQL).. Deep understanding and hands-on experience with Google Cloud Platform (GCP) technologies, especially in data migration and warehousing, including Database Migration Service (DMS), Cloud SQL, BigQuery,. Dataflow, Data Catalog, Cloud Composer, Google Cloud Storage (GCS), IAM, Compute Engine, Cloud Data Fusion, and optionally Dataproc.. Adherence to best development practices including technical design, solution development, systems configuration, test documentation/execution, issue identification and resolution, and writing clean, modular, self-sustaining code.. Familiarity with CI/CD processes using GitHub, Cloud Build, and Google Cloud SDK.. Qualifications:. Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.. GCP Certified Data Engineer (preferred).. Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to research scientists, engineering teams, and business audiences.. Show more Show less