AWS Data Architect

2 days ago

Mumbai, Maharashtra, India beBeeDataEngineering Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Job Title: AWS Cloud Solutions Architect

At the heart of every successful organization lies a well-designed cloud infrastructure. As an experienced AWS Cloud Solutions Architect, you will play a pivotal role in shaping our company's digital landscape.

This is an opportunity to join a team of innovators who are passionate about harnessing the power of cloud computing to drive business growth and transformation. If you have a passion for designing scalable, secure, and efficient cloud solutions, we want to hear from you

The ideal candidate will have extensive 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 cloud 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.
  • Evaluate 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.
Required Skills:
  • 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 on understanding of data ingestion patterns, extensive knowledge of data bricks and Azure Data Factory, SQL Knowledge, and incremental and append data load.

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