AWS Data Engineer (CDK)

Overview

Key Requirement

• AWS CDK experience is mandatory in addition to AWS data engineering skills

---

Roles and Responsibilities

 

• Ingest data from internal and external sources into AWS Redshift and S3 using DMS, Zero-ETL, Kinesis, Glue, Lambda, Lake Formation, Cross Account Replication, and/or SFTP

• Build infrastructure as code using AWS CDK

• Create and utilize GitLab CI/CD pipelines to promote code through test and production environments

• Build Glue ETL pipelines to structure and curate data

• Conduct code reviews and ensure high-quality deployments

• Maintain AWS environments to optimize costs, eliminate vulnerabilities, and ensure smooth operation

• Coordinate and resolve production issues promptly

• Drive path-to-production processes, including documentation and approvals

• Partner with business teams on data governance

Job Description

Qualifications / Preferred Qualifications

 

• Minimum 5 years of post-degree professional experience

• 3+ years experience with AWS CDK and AWS ETL pipelines

• Hands-on experience with AWS services such as S3, Lambda, Step Functions, Glue, and IAM

• Experience with cloud data migration tools like DMS and Cross Account Replication

• Strong knowledge of Python and software development lifecycle (SDLC)

• Familiarity with best practices for data ingestion, data design, and query optimization (indexes, materialized views)

• Experience in profiling data, validating analysis, and defining deployment paths

• Excellent written and verbal communication skills for cross-functional collaboration

Skills & Requirements

Refer