AWS Data Engineer

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Location:

Years of Experience:

About the Company

Our client is a trusted global innovator of IT and business services, present in 50+ countries. They specialize in digital & IT modernization, consulting, managed services, and industry-specific solutions. With a commitment to long-term success, they empower clients and society to move confidently into the digital future.

About the Role:

● Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field

● 5–10 years of hands-on experience in data engineering or data platform development

● Expert-level proficiency in Python (pandas, PySpark, boto3, SQLAlchemy)

● Advanced experience with AWS Data Services, including:

○ AWS Glue, Lambda, EMR, Step Functions, DynamoDB, EDW Redshift, Athena, S3, Kinesis, Amazon Quicksight.

○ IAM, CloudWatch, CloudFormation / Terraform (for infrastructure automation)

● Strong experience in SQL, data modeling, and performance tuning

● Proven ability to design and deploy data lakes, data warehouses, and streaming solutions

● Solid understanding of ETL best practices, partitioning, error handling, and data validation

● Hands-on experience in version control (Git) and CI/CD for data pipelines

● Knowledge of containerization (Docker/Kubernetes) and DevOps concepts

● Excellent analytical, debugging, and communication skills