| Job Description: |
Competencies: Digital : Amazon Web Service(AWS) Cloud Computing, Digital : Snowflake
Experience (Years): 8-10
Essential Skills: Must Have TechnicalFunctional 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 processingmovement 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 projectsAbility to debug complex applications during Production Incident triage.Roles ResponsibilitiesDesign 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 componentssolutions. |
