Data Engineer

• Design and develop scalable ETL/ELT data pipelines using Python, PySpark, and Databricks.

• Work with AWS, Azure, Snowflake, and data warehousing solutions.

• Build reliable, analytics-ready datasets and ensure data quality and performance.

Requirements
Key Roles & Responsibilities

• Develop and optimize ETL pipelines and data ingestion workflows.

• Implement CDC, SCD Type 1/2, and Medallion Architecture.

• Perform data validation, transformation, and quality checks.

• Develop data models and support BI reporting using Power BI/QuickSight.

• Work with AWS Glue, S3, Azure Data Factory, Airflow, and Snowflake.

• Collaborate with stakeholders to understand requirements and deliver data solutions.

Primary Skills:

• Python, SQL, PySpark

• Databricks & Apache Spark

• ETL/ELT & Data Pipelines

• AWS (S3, Glue)

• Snowflake

Secondary Skills:

• Azure Data Factory

• Apache Airflow, dbt, Fivetran

• Data Modeling & Data Warehousing

• CDC & SCD Type 1/2

• Power BI & Amazon QuickSight

• Delta Lake, Terraform & CI/CD

📌 Data Engineer (India)
🏢 QBrainX India
📍 India