Associate Data Engineer

6 months of Experience in executing Data warehousing ETL projects.
6 months of Experience with Python
6 months of Experience with SQL
6 months of hands-on Experience with bash shell scripts, UNIX utilities & UNIX Commands
6 months of hands-on Experience with a major cloud platform (GCP, AWS, Azure)

Understands the Enterprise data systems and acquires knowledge on the relevant processes need for project delivery.
Participate in Agile scrum activities/project status meetings on regular basis.
Participate in User story discussion with technical lead.
Uses strong programming skills to build robust data pipelines for ETL (Extract / Transform / Load) processes and develops tools for data processing.
Work closely with Tech Leads to support UAT/Pre-prod testing and deployment activities.
Documents data engineering processes, workflows, and systems for reference and knowledge-sharing purposes.
Implements data quality checks and validation processes to ensure the accuracy, completeness, and consistency of the data.
Be a team player and work with team members for Business solution and implementation.

Experience in designing and building data engineering solutions in cloud environments (preferably GCP)
Experience with Jenkins, Git, CI/CD pipeline, and other DevOps principles/best practices
Experience with bash shell scripts, UNIX utilities & UNIX Commands
Understanding of software development methodologies including waterfall and agile.
Ability to leverage multiple tools and programming languages to analyze and manipulate data sets from disparate data sources
Knowledge of API development
Experience with complex systems and solving challenging analytical problems
Strong collaboration and communication skills within and across teams
Knowledge of data visualization and reporting
Any cloud fundamentals certification from major cloud service providers(GCP preferred)
Knowledge of microservices and SOA
Formal SAFe and/or agile experience. Previous healthcare experience and domain knowledge