Design and develop scalable data architectures and pipelines for large-scale data processing.
Strong hands-on experience with Python and PySpark for data processing and transformation.
Excellent SQL skills with experience handling large datasets and complex queries.
Strong experience working with AWS Data Lake settings using Apache Iceberg format.
Hands-on experience developing and managing AWS Glue Jobs.
Strong knowledge of AWS data services including S3, Redshift, Lambda, EMR, Airflow, PostgreSQL, SNS, and EventBridge.
Expertise in Bash/Shell scripting for automation and data processing.
Design, build, test, and optimize robust ETL/ELT data pipelines.
Ensure data quality, reliability, scalability, and performance across data environments.




Provide technical leadership for complex data engineering projects and mentor team members.
Collaborate with Product, Finance, Technology, and other business teams to translate requirements into data solutions.
Develop data solutions supporting predictive and prescriptive analytics.
Solid understanding of Healthcare Finance systems and related data processes.
Experience working in Agile environments, with solid problem-solving and communication skills.
Ensure data architecture and engineering solutions align with Healthfirst solution architecture and enterprise standards.

📌 Data Engineer Contarct Pune
🏢 Saaki Argus And Averil Consulting
📍 Pune