Data Engineer(Contarct)
Saaki, Argus & Averil Consulting (company site, opens in a new tab)PuneOn-siteDirect career pageEst. 10–16 LPA
Posted on 9 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design and build scalable data architectures and ETL/ELT pipelines using Python, PySpark, and AWS Glue.
- Manage and optimize AWS data services environment including S3, Redshift, Lambda, EMR, with a focus on Apache Iceberg format for data lake.
- Provide technical leadership on complex data engineering projects and collaborate cross-functionally to deliver predictive and prescriptive analytics solutions.
Minimum Requirements
- Strong hands-on experience with Python and PySpark for data processing.
- Proficient in complex SQL queries and managing large datasets.
- Experience with AWS Data Lake environments, specifically using Apache Iceberg format, and AWS Glue Jobs.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in healthcare finance systems with strong understanding of associated data processes.
- Skilled in designing data solutions that align with enterprise architecture standards.
- Comfortable working in Agile environments with cross-functional teams to translate business requirements into data solutions.