Data Engineer

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