AWS Data Engineer

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About the Company

global digital transformation leader

We are looking for an experienced AWS Data Engineer with strong expertise in building scalable data pipelines, cloud data platforms, and analytics-ready datasets. The candidate should have hands-on experience with core AWS data services, ETL/ELT processes, data modeling, and performance optimization.

Key Responsibilities

1. Data Pipeline Development

• Design, build, and maintain end-to-end

  ETL/ELT pipelines

  using AWS services.
• Implement batch and real-time ingestion pipelines using:

• AWS Glue

• AWS Lambda

• AWS Kinesis / Kafka

• AWS Data Migration Service (DMS)

• Optimize pipelines for scalability, performance, and reliability.

2. Data Architecture & Modeling

• Design and implement data models for:
• Data Lake
• Data Warehouse
• Analytics
• Work with

  star schema, snowflake schema

  , and normalized models.
• Build efficient storage solutions using

  S3, Redshift, DynamoDB, RDS, Aurora

  .

3. AWS Cloud Engineering

• Develop data solutions leveraging:

• S3, Athena, Glue Catalog

• Redshift / Redshift Spectrum

• EMR / PySpark

• Step Functions, CloudWatch

• Implement CI/CD for data pipelines using

  CodePipeline, CodeBuild, Jenkins, GitHub Actions

  , etc.

4. Data Quality & Governance

• Implement data validation, reconciliation, and quality frameworks.
• Work with metadata management and data catalogs.
• Ensure compliance with security and governance standards.

5. Collaboration

• Work closely with data analysts, data scientists, and business stakeholders.
• Translate business requirements into technical data solutions.
• Participate in architecture reviews and solution design sessions.

6. Performance Optimization

• Improve query performance on Redshift, Athena, and Spark.
• Optimize storage formats (Parquet, ORC, Delta).
• Partitioning, bucketing, and compression strategies.

Core Skills Required

AWS Services (Mandatory)

• S3
• Glue (ETL & Catalog)
• Lambda
• EMR / Spark
• Redshift
• Kinesis
• IAM, CloudWatch, Step Functions

Programming

• Python (mandatory)
• PySpark / Spark
• SQL (advanced level)

Tools & Frameworks

• Airflow (or similar orchestration tools)
• Terraform / CloudFormation (infrastructure-as-code)
• Git, Jenkins, Docker (nice to have)

Data Expertise

• ETL/ELT pipeline development
• Data warehousing concepts
• Data lake architecture
• Performance tuning
• Data modeling (OLTP & OLAP)

Qualifications

• Bachelor’s/Master’s degree in Computer Science, Information Technology, or related field.
• Minimum

  7+ years of experience

  in data engineering.
• Strong knowledge of AWS cloud data ecosystem.
• Experience working in Agile environments.