AWS Data Engineer

About the Opportunity
A dynamic talent solutions firm operating at the intersection of cloud infrastructure and data engineering, we partner with enterprises to build scalable, secure, and high-performance data platforms on AWS. Our engineers architect, deploy, and optimize data pipelines, lakes, and warehousing solutions that power real-time analytics, machine learning, and business intelligence across industries.

Role & Responsibilities

• Design and implement scalable ETL/ELT pipelines using AWS Glue, Lambda, and Step Functions for batch and real-time data ingestion.


• Build and maintain data lakes on S3 with proper partitioning, cataloging (Glue Data Catalog), and governance using IAM and Lake Formation.


• Orchestrate data workflows via AWS MWAA or Step Functions, monitor pipeline health, and ensure SLA compliance.


• Optimize Redshift or Snowflake (if integrated) for performance and cost using materialized views, distribution keys, and query tuning.


• Implement data quality checks, lineage tracking, and alerting using CloudWatch, Athena, and custom Python scripts.


• Collaborate with analytics and ML teams to deliver clean, curated datasets for dashboards and model training.

Skills & Qualifications

• Must-Have


• AWS Glue


• Amazon S3


• AWS Lambda


• Amazon Redshift


• Amazon Athena


• Python


• SQL


• ETL/ELT


• Preferred


• AWS Step Functions


• AWS MWAA


• Apache Airflow

Benefits & Culture Highlights

• Onsite collaborative environment with access to cloud certification sponsorships.


• Direct exposure to enterprise-scale AWS data architectures and cross-functional teams.


• Fast-paced, learning-driven culture with growth acceleration for high performers.