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AWS data engineer _ Hyderabad _Hybrid

AWS data engineer _ Hyderabad _Hybrid

D2kss Software Services

5 - 8 years

6 - 10 Lacs

hyderabad

Posted:8 hours ago| Platform:

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Skills Required

remediation automation query optimization data modeling cloud data quality apache aws analytics sql

Work Mode

Work from Office

Job Type

Full Time

Job Description

About the Opportunity

A technology services company operating in the Cloud Data Engineering and Enterprise Software sector is hiring an AWS Data Engineer to join its Hyderabad-based delivery team. This hybrid role focuses on designing, building, and operating scalable ETL/ELT pipelines and analytics ecosystems on AWS to support business-critical reporting and analytics for global clients.

Role & Responsibilities

Design, develop, and maintain scalable ETL/ELT data pipelines on AWS to ingest, transform, and load structured and semi-structured data into analytics stores.
Implement PySpark-based transformations and optimize performance on AWS Glue, EMR, or Spark clusters to meet SLAs and cost targets.
Build and manage cloud data warehouses and query layers (eg, Redshift, Athena), including data modeling, partitioning, and query optimization.
Author and maintain Infrastructure-as-Code (IaC) using Terraform or CloudFormation to provision secure, repeatable AWS environments.
Collaborate with data consumers, analytics teams, and DevOps to define requirements, integrate APIs, and deploy CI/CD pipelines for data products.
Monitor data pipelines, troubleshoot incidents, and implement observability, alerting, and automated remediation for reliability and data quality.

Skills & Qualifications Must-Have

AWS S3
AWS Glue
AWS Redshift
PySpark
SQL
Terraform

Preferred

Apache Airflow
Amazon Kinesis
Apache Kafka
Snowflake

Benefits & Culture Highlights

Hybrid work model with focused office days in Hyderabad and flexible remote days to balance collaboration and deep work.
Opportunity to work on end-to-end cloud data platforms for enterprise clients and gain exposure to modern analytics stacks.
Supportive engineering culture with mentorship, upskilling opportunities, and emphasis on automation and best practices.

Location: Hyderabad, India (Hybrid)

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AWS data engineer _ Hyderabad _Hybrid