Jobs → Data & Analytics → Data Engineer

About the Role We are looking for an experienced Data Engineer with strong hands-on expertise in SQL, Python, PySpark, and AWS data services. Key Responsibilities • Design and implement data pipelines • Develop and maintain ETL processes • Work with AWS data services including S3, Glue, and Athena • Ensure data quality and reconciliation • Build data models and manage metadata • Prepare data for analytics and machine learning Requirements • 5–7 years of experience as a Data Engineer • Strong hands-on expertise in SQL, Python, and PySpark • Experience with AWS data services (S3, Glue, Athena, Lake Formation, Step Functions, Lambda) • Experience with large-scale data processing and data pipeline development • Experience with API and batch ingestion • Experience with data quality, reconciliation, modelling, and partitioning • Experience with metadata management and data lineage • Experience with identity mapping • Experience with data preparation for analytics and ML • Mandatory: AWS certification through the official AWS platform Good to Have • Experience with Snowflake or Databricks • Domain experience in Commerce, Retail, Media, or CPG