AWS Data Engineer - SQL/Python

<p><p>We are looking for a skilled AWS Data Engineer to join our team! If you have expertise in building scalable data pipelines, modern data architectures, and cloud-based solutions, this role is for you.<br/><br/><b>Key Responsibilities :</b></p><p><p><b><br/></b></p>- Design, develop, and maintain scalable data pipelines & ETL/ELT solutions using AWS cloud services.<br/><br/></p><p>- Ingest, process & store structured/unstructured data from multiple sources (IoT devices, ERP, drilling logs, production data, etc.<br/><br/></p><p>- Implement and optimize data lake & data warehouse solutions for performance, cost, and scalability.<br/><br/></p><p>- Support real-time data streaming & analytics (AWS Kinesis, Kafka, Lambda).</p><p><br/></p><p>- Collaborate with domain experts, data scientists, and business analysts to deliver data-driven solutions.<br/><br/></p><p>- Ensure data governance, data quality, and security compliance.<br/><br/></p><p>- Work on CI/CD and DevOps practices for data Were Looking For :</b></p><p><b><br/></b></p>- AWS Services : S3, Redshift, Glue, Athena, EMR, Lake Formation, Lambda, Kinesis, Step Functions, CloudWatch, RDS, DynamoDB (optional).<br/><br/></p><p>- ETL/ELT Development : PySpark, Python, SQL.<br/><br/></p><p>- Strong data modeling, warehousing & performance tuning skills.<br/><br/></p><p>- SQL expertise with large datasets.<br/><br/></p><p>- Knowledge of data lake, modern data architecture.<br/><br/></p><p>- Experience with Databricks & Azure Data Factory.<br/><br/></p><p>- Understanding of data ingestion patterns (Incremental & Append data load).<br/><br/></p><p>- Oil & Gas industry dataset familiarity (production, drilling, exploration, IoT data) is a big plus!</p><br/></p> (ref:hirist.tech)