TEK Hire Solutions · 6 days ago
Sr. AWS Data Engineer - NC/NY (Hybrid) - W2 Full time
TEK Hire Solutions is a world-class technology company focused on customer-driven solutions. They are seeking a highly skilled AWS Data Engineer to design, develop, and optimize large-scale data pipelines and ETL workflows on AWS.
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Responsibilities
Design, develop, and maintain ETL pipelines using AWS Glue, Glue Studio, and Glue Catalog
Ingest, transform, and load large datasets from structured and unstructured sources into AWS data lakes/warehouses
Work with S3, Redshift, Athena, Lambda, and Step Functions for data storage, query, and orchestration
Build and optimize PySpark/Scala scripts within AWS Glue for complex transformations
Implement data quality checks, lineage, and monitoring across pipelines
Collaborate with business analysts, data scientists, and product teams to deliver reliable data solutions
Ensure compliance with data security, governance, and regulatory requirements (BFSI preferred)
Troubleshoot production issues and optimize pipeline performance
Qualification
Required
12+ years of experience in Data Engineering, with at least 5+ years on AWS cloud data services
Strong expertise in AWS Glue, S3, Redshift, Athena, Lambda, Step Functions, CloudWatch
Proficiency in PySpark, Python, SQL for ETL and data transformations
Experience in data modeling (star, snowflake, dimensional models) and performance tuning
Hands-on experience with data lake/data warehouse architecture and implementation
Strong problem-solving skills and ability to work in Agile/Scrum environments
Preferred
Experience in BFSI / Wealth Management domain
AWS Certified Data Analytics – Specialty or AWS Solutions Architect certification
Familiarity with CI/CD pipelines for data engineering (CodePipeline, Jenkins, GitHub Actions)
Knowledge of BI/Visualization tools like Tableau, Power BI, QuickSight
Master's degree preferred
Company
TEK Hire Solutions
Tek Hire Solutions offers contract staffing and recruitment services, connecting employers and candidates in multiple industries.