AWS Data Engineer

Weekday AI

Hyderabad, Telangana, India permanent

Posted: March 5, 2026

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Quick Summary

This role involves designing, implementing, and deploying scalable data pipelines on AWS using various services such as Glue, Lambda, EventBridge, Kinesis, S3, Redshift, and PySpark, requiring expertise in data modeling, automation, testing, and deployment processes.

Required Skills

AWS Data Services Glue Lambda EventBridge Kinesis Redshift RDS Step Functions Airflow PySpark AWS Glue

Job Description

This role is for one of the Weekday's clients

Min Experience: 6 years

Location: Hyderabad

JobType: full-time

Required: Extensive experience with AWS Data Services such as Glue, Lambda, EventBridge, Kinesis, S3/EMR, Redshift, RDS, Step Functions, Airflow, and PySpark.

Requirements:
Demonstrated knowledge of IAM, CloudTrail, cluster optimization, Python, and SQL.
Expertise in data design, STTM, data models, component design, automated testing, code coverage, UAT support, and deployment processes.
Familiarity with version control systems, including SVN and Git.
Responsibilities include creating and managing AWS Glue crawlers and jobs to automate the data cataloging and ingestion processes from diverse structured and unstructured data sources.
Solid experience in using AWS Glue for building ETL pipelines, overseeing crawlers, and utilizing the Glue data catalog.
Skilled in designing and managing AWS Redshift clusters, crafting complex SQL queries, and enhancing query performance.
Facilitate data consumption for reporting and analytics business applications utilizing AWS services (e.g., QuickSight, SageMaker, JDBC/ODBC connectivity, etc.).

Skills

AWS

Data Engineer

Python

PySpark

SQL

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