Etl / Big Data Engineer

Key Responsibilities

Build robust ETL pipelines to extract and integrate data from 20+ diverse sources, including Salesforce, CRM platforms, and internal systems.

Perform complex data transformations for customer unification and insights generation.

Load and optimize data pipelines into Big Data platforms (AWS, Hadoop, or similar).

Implement and maintain data quality, deduplication, and validation logic.

Collaborate with Data Architects and Business Analysts to ensure alignment with business goals.

✅ Ideal Candidate

5–8 years in ETL development and data integration.

Hands-on with AWS Glue, Spark, Hive, Python/Scala, Redshift (strong plus!).

Strong understanding of data modeling, batch & streaming ingestion, and data governance.

Experience with Salesforce or similar CRM systems for data sourcing.

Strong debugging, optimization, and documentation habits.