Data Engineer

Take your Data Engineering expertise further through FMCG projects using Python, ETL/ELT, and data warehousing in a collaborative hybrid environment.

KEY RESPONSIBILITIES

• Build and maintain reliable ETL/ELT pipelines
• Process and integrate data from multiple sources into data warehouses or data lakes
• Write efficient and maintainable SQL queries
• Ensure data quality, consistency, and validity across data pipelines
• Collaborate with Data Analysts, Data Scientists, Product, and Engineering teams
• Monitor, troubleshoot, and optimize pipeline performance.

REQUIREMENTS

• 3–5 years of experience as a Data Engineer or in a similar role
• Strong SQL skills and a solid understanding of basic data modeling
• Hands‑on experience using Python for data processing
• Experience with ETL/ELT tools or workflow orchestration platforms such as Airflow, dbt, Dagster, or similar tools
• Familiarity with data warehouses such as BigQuery, Snowflake, Redshift, or PostgreSQL
• Understanding of data quality, partitioning, indexing, and pipeline monitoring.

NICE TO HAVE

• Experience with cloud platforms such as GCP, AWS, or Azure
• Familiarity with Apache Spark, Apache Kafka, or data streaming
• Experience working with analytics teams or production data platforms.

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