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Job Description

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.

Key Responsibilities :


- Design, develop, and maintain scalable data pipelines & ETL/ELT solutions using AWS cloud services.

- Ingest, process & store structured/unstructured data from multiple sources (IoT devices, ERP, drilling logs, production data, etc.

- Implement and optimize data lake & data warehouse solutions for performance, cost, and scalability.

- Support real-time data streaming & analytics (AWS Kinesis, Kafka, Lambda).


- Collaborate with domain experts, data scientists, and business analysts to deliver data-driven solutions.

- Ensure data governance, data quality, and security compliance.

- Work on CI/CD and DevOps practices for data solutions.

Skills Were Looking For :


- AWS Services : S3, Redshift, Glue, Athena, EMR, Lake Formation, Lambda, Kinesis, Step Functions, CloudWatch, RDS, DynamoDB (optional).

- ETL/ELT Development : PySpark, Python, SQL.

- Strong data modeling, warehousing & performance tuning skills.

- SQL expertise with large datasets.

- Knowledge of data lake, modern data architecture.

- Experience with Databricks & Azure Data Factory.

- Understanding of data ingestion patterns (Incremental & Append data load).

- Oil & Gas industry dataset familiarity (production, drilling, exploration, IoT data) is a big plus!


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