Principal Oil Industry Data Specialist

2 days ago

Lucknow, Uttar Pradesh, India beBeeDataEngineer Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
AWS Data Engineer – Oil

Job Title: Experienced AWS Data Engineer with Oil & Gas industry expertise to design, build, and optimize scalable data pipelines and cloud solutions.

Location: Offshore/REMOTE

Experience: 5+ years

Experienced professionals will have strong experience in AWS cloud services, data engineering and knowledge of Oil & Gas upstream, midstream or downstream processes to support advanced analytics, reporting, and digital transformation initiatives.

Key Responsibilities:

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

• Ingest, process, and store structured/unstructured data from multiple sources (IoT devices, sensors, ERP systems, drilling logs, production data, etc.).

• Implement data lake and data warehouse solutions

• Optimize data pipelines for performance, cost and scalability.

• Collaborate with domain experts, data scientists and business analysts to translate Oil & Gas business requirements into data solutions.

• Ensure data governance, data quality and security compliance.

• Support real-time data streaming and analytics using AWS services (Kinesis, Kafka, Lambda).

• Document technical solutions and provide knowledge transfer to the team.

• Proficiency in AWS services:

- S3, Redshift, Glue, Athena, EMR, Lake Formation

- Lambda, Kinesis, Step Functions, CloudWatch, RDS, DynamoDB (optional)

• Expertise in ETL/ELT development using PySpark, Python, or SQL.

• Experience with data modeling, warehousing, and performance tuning.

• Knowledge of data lake and modern data architecture.

• Strong SQL skills and ability to work with large datasets.

• Hands-on with CI/CD and DevOps practices for data solutions.

• Familiarity with Oil & Gas industry datasets and use cases (production, drilling, exploration, sensor/IoT data).

• Candidate will also be judged in following skills:

- Understanding of data ingestion pattern.

- Extensive knowledge of data bricks & Azure Data Factory

- SQL Knowledge

- Incremental & Append data load

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