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 to build scalable data pipelines and support analytics and machine learning initiatives. Key Responsibilities • Build scalable data pipelines • Support analytics and machine learning initiatives • Develop and maintain data infrastructure • Ensure data quality and integrity Requirements • Strong hands-on experience with SQL, Python, and PySpark • Experience in large-scale data processing and scalable data pipeline development • Hands-on experience with AWS services: Amazon S3, AWS Glue, Amazon Athena, AWS Lake Formation, AWS Step Functions, AWS Lambda • Experience with API and batch data ingestion, data modeling, and data quality validation • Knowledge of data reconciliation, partitioning, metadata management, data lineage, and identity mapping • Candidates must have completed an official AWS certification through the AWS platform Ideal Candidate A hands-on Data Engineer with strong AWS data engineering skills, PySpark expertise, and a valid, verifiable AWS certification.