AWS Data Engineer

AWS Data Engineer

Location:

Experience:

Employment Type:

About the Role:

AWS Data Engineer

Key Responsibilities:

• Build and maintain scalable

  ETL/ELT data pipelines

  using AWS Glue, Redshift, Lambda, EMR, S3, and Athena
• Process and integrate structured and unstructured data, including

  sensor/IoT and real-time streams

• Optimize pipeline performance and ensure reliability and fault tolerance
• Collaborate with cross-functional teams including data scientists and analysts
• Perform data transformations using

  Python, Pandas, and SQL

• Maintain data integrity, quality, and security across the platform
• Use

  Terraform

  and CI/CD tools (e.g., Azure DevOps) for infrastructure and deployment automation
• Support and monitor pipeline workflows, troubleshoot issues, and implement fixes
• Contribute to the adoption of emerging tools like

  AWS Bedrock, Textract, Rekognition, and GenAI solutions

Required Skills and Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field
• 3+ years of experience in data engineering using AWS
• Strong skills in:
• AWS Glue, Redshift, S3, Lambda, EMR, Athena
• Python, Pandas, SQL
• RDS, Postgres, SAP HANA
• Solid understanding of

  data modeling, warehousing, and pipeline orchestration

• Experience with

  version control (Git)

  and

  infrastructure as code (Terraform)

Preferred Skills:

• Experience working with

  energy sector dat

  a or

  IoT/sensor-based data

• Exposure to

  machine learnin

  g tools and frameworks (e.g., SageMaker, TensorFlow, Scikit-learn)
• Familiarity with

  big data technologie

  s like Apache Spark, Kafka
• Experience with

  data visualization tool

  s (Tableau, Power BI, AWS QuickSight)
• Awareness of

  data governance and catalog tool

  s such as AWS Data Quality, Collibra, and AWS Databrew
• AWS Certifications (Data Analytics, Solutions Architect