Data Engineer

About the role

We are looking for a Data Engineer to design, build, and maintain robust ETL/ELT pipelines that bring in structured and semi‑structured marketing data from a variety of third‑party platforms into our AWS data lake.

Key responsibilities

• Develop, test, and maintain ETL/ELT pipelines for sources such as GA4, paid media, social media, and other marketing platforms.
• Build API and batch ingestion workflows handling pagination, rate‑limits, retries, and incremental loads.
• Integrate web traffic, campaign, and engagement data into AWS services (S3, Glue, Athena, CloudWatch).
• Transform source data into reusable, validated datasets with normalization, deduplication, and quality checks.
• Monitor pipelines, troubleshoot data‑quality and performance issues, and communicate blockers.
• Use Git‑based development practices, unit testing, and maintain technical documentation.

Required profile

• Bachelor’s degree in Engineering, Computer Science, IT or related field, or equivalent experience.
• 2–5 years of experience in data engineering, database development, or analytics engineering.
• Proficiency in SQL and Python.
• Hands‑on experience with AWS or another cloud data platform.
• Experience with relational databases (PostgreSQL, Microsoft SQL Server, Oracle) and formats like JSON, CSV, Parquet.

Required skills

• SQL
• Python
• AWS services (S3, Glue, Athena, CloudWatch)
• Git (branches, pull requests, code reviews)
• API ingestion, authentication, pagination, incremental loading
• Data‑quality validation and monitoring