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Job Description
Structured overview of role & requirementsAbout This Role
Build and optimize scalable data pipelines using Python and Spark/PySpark for production environments.
Develop and deploy data engineering solutions on AWS leveraging platforms like Databricks and Snowflake.
Ensure software engineering best practices in coding, testing, and debugging for data solutions.
Minimum Requirements
Approximately 5 years of hands-on data engineering experience.
Proficient in Python programming and debugging with production data pipeline experience.
Experience with Spark/PySpark and working on AWS cloud platforms.
Familiarity with Databricks and Snowflake data platforms.
Ideal Candidate Profile
Experienced in building production-grade data pipelines with strong Python and Spark expertise.
Comfortable working in modern cloud environments using AWS and data platforms such as Databricks and Snowflake.
Preferably has some financial services domain experience and familiarity with data orchestration tools like Dagster.