Data Engineer

Tata Consultancy Services

United States

United States

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Über

Must Have Technical/Functional Skills • Bachelors degree in information technology or related experience. • 5+ years of experience in field of data engineering involving analytics-focused data warehouse environments • such as Snowflake. • 3+ years of experience working in AWS utilizing services such as Amazon S3, AWS Glue, AWS Lambda, etc. • Advanced knowledge of SQL and Python programming languages. • Extensive experience in database development, data pipelines development, and ETL development. • Experience using modern data processing/movement technologies such as Qlik, AWS Glue, Lambda, Python. • Experience working in an Agile delivery environment. • Hands on experience building and using DevSecOps pipelines and automation. • Ability to work independently and drive solutions end to end leveraging various technologies to solve data • problems and develop solutions. • Promote and enforce design and development standards and best practices. • Passionate about continuous learning, experimenting, applying, and contributing towards cutting edge open • source technologies and software paradigms. • Have a proven track record of customer satisfaction and delivery success and ability to establish and maintain • appropriate relationships with business and IT stakeholders. • Ability to supervise junior developers and make personnel decisions. • Ability to manage multiple sophisticated software development projects • Ability to debug complex applications during Production Incident triage. Roles & Responsibilities • Design and develop data pipelines utilizing Data Vault 2.0 on our cloud data warehouse in Snowflake. • Design and develop ETL processes in our data lake in AWS using batch and streaming solutions. • Develop test strategies, software testing frameworks, and test automation. • Champion a modern engineering culture and best practices-based software development. • Leverage DevSecOps and documentation techniques and have working experience with modern tools such as • Git, Jira, and Confluence. • Engage in application design and data modeling discussions; participate in developing and enforcing data • security policies. • Drive delivery efficiency with automation and reusable components/solutions.
Salary Range: $100,000 to $110,000 per year

United States

Sprachkenntnisse

English

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