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Cloud Solutions Engineer

3 weeks ago

Erode, Tamil Nadu, India beBeeData Full time ₹ 1,80,00,000 - ₹ 2,50,00,000
Job Title: Cloud Solutions Engineer – Oil & Gas Domain

Location: Offshore/ Remote

Experience: 5+ years

As a seasoned AWS Data Engineer with oil and gas industry expertise, you will play a pivotal role in designing, building, and optimizing scalable data pipelines and cloud solutions. Your strong experience in AWS cloud services, data engineering, and knowledge of oil and gas upstream, midstream, or downstream processes will enable you 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 and 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 and 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

Requirements:

  • Bachelor's degree in Computer Science or related field
  • 5+ years of experience in data engineering and cloud computing
  • Strong understanding of data architecture and design principles
  • Excellent communication and collaboration skills

What We Offer:

  • A competitive salary and benefits package
  • Opportunities for professional growth and development
  • A dynamic and supportive work environment

How to Apply:

Send your resume and cover letter to us at [insert email].