Ensuring a high level of integrity in all our business interactions is essential to us. In the face of an ever-evolving and challenging commercial, regulatory, and compliance environment, we are committed to adapting our working methods. This dedication ensures that we consistently conduct business in the most appropriate, ethical, and transparent manner. With a rich legacy spanning over 4 years, Viraaj HR Solutions stands as a trusted HR partner, dedicated to providing seamless services to a diverse clientele across India. Our commitment to transparency and efficiency sets us apart, ensuring a smooth and rewarding process for both clients and candidates.

viraaj hr solutions

About the Opportunity A dynamic talent solutions firm operating at the intersection of cloud infrastructure and data engineering, we partner with enterprises to build scalable, secure, and high-performance data platforms on AWS. Our engineers architect, deploy, and optimize data pipelines, lakes, and warehousing solutions that power real-time analytics, machine learning, and business intelligence across industries.

Role &amp; Responsibilities
<ul>
<li>Design and implement scalable ETL/ELT pipelines using AWS Glue, Lambda, and Step Functions for batch and real-time data ingestion.</li>
<li>Build and maintain data lakes on S3 with proper partitioning, cataloging (Glue Data Catalog), and governance using IAM and Lake Formation.</li>
<li>Orchestrate data workflows via AWS MWAA or Step Functions, monitor pipeline health, and ensure SLA compliance.</li>
<li>Optimize Redshift or Snowflake (if integrated) for performance and cost using materialized views, distribution keys, and query tuning.</li>
<li>Implement data quality checks, lineage tracking, and alerting using CloudWatch, Athena, and custom Python scripts.</li>
<li>Collaborate with analytics and ML teams to deliver clean, curated datasets for dashboards and model training.</li>
</ul>

Skills &amp; Qualifications
<ul>
<li>Must-Have</li>
<li>AWS Glue</li>
<li>Amazon S3</li>
<li>AWS Lambda</li>
<li>Amazon Redshift</li>
<li>Amazon Athena</li>
<li>Python</li>
<li>SQL</li>
<li>ETL/ELT</li>
<li>Preferred</li>
<li>AWS Step Functions</li>
<li>AWS MWAA</li>
<li>Apache Airflow</li>
</ul>

Benefits &amp; Culture Highlights
<ul>
<li>Onsite collaborative environment with access to cloud certification sponsorships.</li>
<li>Direct exposure to enterprise-scale AWS data architectures and cross-functional teams.</li>
<li>Fast-paced, learning-driven culture with growth acceleration for high performers.</li>
</ul>