AWS Data Engineer - ETL Pipelines & Real-Time Data

Hexaware

Mexico

On-site

PHP 900,000 - 1,100,000

Full time

14 days+

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Job summary

Hexaware is seeking a Mid Level Dev AWS Data Engineer with 4–8 years of software development experience to build and maintain ETL pipelines using Python and PySpark on AWS Glue and related platforms. You will orchestrate workflows with AWS Step Functions and Lambda, implement messaging via SNS/SQS, design scalable storage with Redshift, RDS and S3, and write efficient SQL for transformations and reporting.

Collaborate with cross-functional teams to translate business requirements into data

Qualifications

  • 4–8 years of software development experience, focused on data engineering.
  • Hands-on experience with ETL/data pipelines on AWS.
  • Proficient in Python and PySpark.
  • Strong SQL skills and data warehousing understanding.
  • Experience with CI/CD and version control practices.

Responsibilities

  • Build and maintain ETL pipelines using Python and PySpark on AWS Glue and related platforms.
  • Orchestrate workflows using AWS Step Functions and Lambda.
  • Implement messaging and event-driven integrations using SNS and SQS.
  • Design and optimize storage and querying solutions with Redshift, RDS and S3.
  • Write efficient SQL for transformations, validation, and reporting.
  • Integrate data from APIs and process JSON data; ensure data quality and monitoring.
  • Participate in CI/CD and production support; collaborate with cross-functional teams.

Skills

Python
PySpark
SQL
AWS
ETL
Data warehousing
CI/CD
Communication

Tools

AirFlow
Step Functions
Lambda
Redshift
RDS
S3
GitLab
Terraform
Athena
EMR
Kinesis
DynamoDB

Job description

Hexaware is seeking a Mid Level Dev AWS Data Engineer with 4–8 years of software development experience to build and maintain ETL pipelines using Python and PySpark on AWS Glue and related platforms. You will orchestrate workflows with AWS Step Functions and Lambda, implement messaging via SNS/SQS, design scalable storage with Redshift, RDS and S3, and write efficient SQL for transformations and reporting.

Collaborate with cross-functional teams to translate business requirements into data

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