AWS Data Engineer

Looking for Data Engineer who will be responsible for design, build and maintenance of data pipelines running on Airflow, Spark on the AWS Cloud platform .

Roles and Responsibility:

• Build and maintain all facets of Data Pipelines for Data Engineering team.
• Build the pipelines required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Spark, Python and Airflow.
• Work with internal and external stakeholders to assist with data-related technical issues and data quality issues.
• Engage in proof of concepts, technical demos and interaction with customers and other technical teams
• Participate in the agile ceremonies
• Ability to solve complex data-driven scenarios and triage towards defects and production issues

Technical Skills

• Must Have Skills:
• Proficient with Python, PySpark and Airflow
• Strong understanding of Object-Oriented Programming and Functional Programming paradigm
• Must have experience working with Spark and its architecture
• Knowledge of Software Engineering best practices
• Advanced SQL knowledge (preferably Oracle)
• Experience in processing large amounts of structured and unstructured data, including integrating data from multiple sources.

• Good to Have Skills:
• Knowledge of Data related AWS Services
• Knowledge of GitHub and Jenkins
• Automated testing

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