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AWS Data Engineer

Hexaware Technologies
Atlanta, GA, United States
22 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
www.dice.com

Tech stack

Big Data Continuous Integration Data Validation Extract Transform Load (ETL) DevOps Python (Programming Language) Query Optimization Git Pyspark Amazon Simple Queue Service (SQS) Software Version Control

Requirements

  • Strong experience with Python and Pyspark for large-scale data processing
  • Proven hands-on experience with AWS services: Lambda, SNS, SQS, Glue, Redshift, Step Functions
  • Solid SQLSQL skills and familiarity with data modeling and query optimization
  • Experience with ETL best practices, data quality checks, and monitoring/alerting
  • Familiarity with version control (Git) and basic DevOps/CI-CD workflows

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

1:43 min

AWS infrastructure stack and data flow pipeline overview

Artem Volk Artem Volk +1 · WWC 2024

6:21 min

Investigating push inefficiencies with upstream Git experts

Jonathan Creamer · Coffee With Developers

2:17 min

Mapping the maturity roadmap for scaled devops adoption

Dominik Krichbaum Dominik Krichbaum · WWC Europe 2026

4:32 min

Harnessing Spark with Python using PySpark and Py4J

Ayon Roy · LIVE

2:57 min

Core technical practices for robust data engineering

Sandhya Menon Sandhya Menon · WWC Europe 2026

56 sec

Favorite git commands and the importance of patch commits

Eileen Uchitelle Eileen Uchitelle +1 · Coffee With Developers

Videos

See all
PySpark - Combining Machine Learning & Big Data thumbnail
43:26
LIVE • almost 6 years ago

PySpark - Combining Machine Learning & Big Data

Ayon Roy

From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform thumbnail
22:57
WWC Europe 2026 • about 1 month ago

From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform

Dominik Krichbaum

How a Small Team Shrank a Microsoft Monorepo by 94% thumbnail
33:23
Coffee With Developers • almost 2 years ago

How a Small Team Shrank a Microsoft Monorepo by 94%

Jonathan Creamer

From Messy Queries to Scalable Systems - How Data Engineering actually works thumbnail
31:15
WWC Europe 2026 • about 1 month ago

From Messy Queries to Scalable Systems - How Data Engineering actually works

Sandhya Menon

Empowering Retail Through Applied Machine Learning thumbnail
22:41
WWC 2024 • almost 2 years ago

Empowering Retail Through Applied Machine Learning

Christoph Fassbach, Daniel Rohr

Data Science in Retail thumbnail
58:21
LIVE • about 3 years ago

Data Science in Retail

Julian Joseph

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