Data Engineer (Healthcare domain) Offline

Requirements:

• 2–4 years of experience as a Data Engineer or in a related role.
• Strong proficiency in Python for building ETL/ELT processes, data transformation, and processing.
• Deep knowledge of SQL: writing complex queries and optimizing performance.
• Hands-on experience with ETL/ELT pipelines using tools like Airflow, Prefect, or Luigi.
• Experience working with Kafka: consuming/producing data streams, working with event-driven architectures.
• Practical experience with AWS services.
• Solid understanding of data modeling principles: star/snowflake schema, normalization/denormalization.

Nice to Have:

• Experience with Pandas, DBT, Spark, Terraform, or CI/CD practices for data infrastructure.
• Experience building analytical dashboards or integrating with BI tools (Looker, Tableau, Power BI).