Data Engineer AWS

We're Hiring: Data Engineer (AWS)

Location: Navi Mumbai | Type: Full-Time

Experience: 3+ Years in Data Engineering on AWS

We’re looking for a highly skilled and experienced AWS Data Engineer to join our dynamic

team! If you have a passion for building robust, scalable data platforms and enjoy working

at the intersection of cloud, analytics, and innovation, we’d love to connect with you.

About the Role

As an AWS Data Engineer, you’ll play a key role in designing and implementing cutting-edge

data analytics solutions using the AWS ecosystem. You’ll collaborate with data scientists,

analysts, and cross-functional teams to turn business challenges into data-driven

solutions.

Key Responsibilities:

• Design, build, and maintain scalable data pipelines using AWS services like S3,

Glue, and EMR.

• Develop and optimize ETL processes to ingest data from multiple sources into our

data lake and warehouse.

• Work closely with data scientists and analysts to transform, aggregate, and prepare

data for analysis.

• Ensure data integrity and quality by implementing validation and monitoring

frameworks.

• Optimize performance and cost-efficiency of our data infrastructure.

• Implement security best practices and ensure compliance with GDPR, HIPAA, and

internal standards.

• Document architecture, workflows, and operational processes.

• Stay current with evolving AWS data technologies and industry trends.

What You Bring:

• 3+ years of experience as a Data Engineer, with strong expertise in AWS.

(Azure knowledge is a bonus!)

• Hands-on experience with key AWS services such as Redshift, EMR, Kinesis, and

Glue.

• Deep understanding of ETL workflows, data modeling, warehousing, and

governance.

• Proficient in Python and SQL, with experience in data manipulation/transformation.

• Strong problem-solving and critical thinking skills.

• Familiarity with data governance and compliance standards.

• Excellent communication skills for cross-functional collaboration.

• Experience with Agile methodologies and version control systems like Git.

• Proven ability to manage multiple priorities and work independently.

Education & Certification:

• Bachelor’s or Associate degree in an IT-related discipline.

• Certification in AWS Certified Data Engineer or AWS Certified Solutions Architect

Associate is a big plus.

What You’ll Do:

Report directly to the Practice Lead.

• Collaborate with sales teams to scope data opportunities and propose solutions.

• Design, develop, test, and deploy data analytics platforms and models.

• Assist with technical documentation, manuals, and specifications.

• Support deployment, releases, and troubleshooting of solutions.

• Participate in user requirement gathering, user stories, and estimation sessions.

What We Offer:

• Opportunity to work on high-impact, cloud-native data projects.

• A collaborative and inclusive culture focused on innovation and career growth.

• Competitive compensation and flexible remote working environment.

• Continuous learning opportunities with certification support.