AWS Data Engineer

Job Details : Data Engineer (AWS)

Remote

Hyderabad

We are seeking a highly skilled AWS Data Engineer to join our team and help design, build, and maintain scalable data pipelines and infrastructure in the cloud. The ideal candidate will have experience working with AWS services, relational databases, and ETL processes, as well as expertise in building out solutions in Databricks and Redshift.

Key Responsibilities :

Design, develop, and maintain scalable

ETL

pipelines using AWS services,

Redshift , and

Databricks .

Build and optimize

data lakes

and

data warehouses

leveraging AWS

S3 ,

Redshift , and related technologies.

Work with structured and unstructured data from various sources and integrate them into a centralized system.

Optimize performance and scalability of

relational databases

and

big data

processing systems.

Collaborate with cross-functional teams including data analysts, data scientists, and software engineers to support data-driven decision-making.

Ensure data quality, security, and compliance with best practices and organizational standards.

Troubleshoot and resolve data-related issues and provide support for data infrastructure.

Required Skills & Experience :

3+ years of experience as a

Data Engineer

or similar role.

Strong expertise in

AWS

services such as

S3, Redshift, Lambda, Glue, Athena, EMR, and Step Functions .

Proficiency in

SQL

and experience with

relational databases

(e.g., PostgreSQL, MySQL, SQL Server).

Experience with

Databricks

for big data processing and analytics.

Solid understanding of

ETL

processes and data pipeline orchestration.

Familiarity with

Python

or

Scala

for data engineering tasks.

Experience with data modeling, performance tuning, and database optimization.

Knowledge of

data governance

and security best practices.

Preferred Qualifications :

Experience with

Apache Spark

and distributed computing frameworks.

Familiarity with

Terraform

or Infrastructure as Code (IaC) for cloud deployment.

Exposure to

streaming data

processing using tools like

Kafka

or

Kinesis .

Knowledge of DevOps and CI / CD practices for data engineering workflows.