Data Engineering, AWS Location: Gurugram, India

Functional Practices: Technology & Analytics Practice

Job type: Permanent

Contact name: Dhruv Verma

Contact email: [email protected]

Job ref: 121772

Published: about 18 hours ago

Title of Job - Cloud Data Engineer - AWS

Summary - An exciting opportunity for an experienced Cloud Data Engineer to work on the architecture, development, data migration, ETL/ELT pipelines, and optimization of a next-generation cloud data platform. The role requires strong AWS expertise, hands-on data engineering capabilities, and the ability to deliver scalable, reliable, and secure data solutions in a fast-paced environment.

Location - India

Your Future Employer - A global analytics and digital solutions organization helping leading corporations improve business outcomes through data, analytics, cloud, and AI. The organization works across industries including insurance, healthcare, banking and financial services, media, and retail.

Responsibilities -

- Design, develop, and optimize end-to-end cloud data pipelines while ensuring scalability, reliability, security, and data quality.
- Drive data migration activities on AWS RDS and translate complex business requirements into production-ready ETL/ELT solutions.
- Build high-volume data ingestion and transformation pipelines using dbt Core, Iceberg, AWS Glue, Lambda, and Apache Airflow.
- Implement real-time data integration using AWS streaming services such as Kinesis and optimize large-scale data processing and cloud data warehouse performance.
- Manage and monitor the data ecosystem, optimize Amazon Redshift and AWS Athena performance and cost,



troubleshoot production issues, and support CI/CD automation for data pipelines.

Requirements -

- 4 years of hands-on experience in Cloud Data Engineering, AWS cloud ecosystems, and Data Architecture.
- Robust understanding of data engineering principles, ETL/ELT patterns, metadata management, data migration, and distributed systems.
- Strong hands-on experience with AWS services including S3, IAM, VPC, Glue, Lambda, RDS, Redshift, Athena, and AWS streaming services.
- Experience with dbt Core, Apache Iceberg, AWS Glue Catalog, Splunk, Amazon Q, Git, and data pipeline orchestration tools.
- Strong proficiency in SQL, PySpark, and Python with excellent troubleshooting, problem-solving, Agile/Scrum, and version-control capabilities.

What is in it for you -

- Opportunity to work on next-generation cloud data platforms and large-scale data migration initiatives.
- Exposure to AWS, modern data engineering technologies, open table formats, and real-time data processing.
- Opportunity to work on high-impact analytics and digital transformation programs.
- Collaborative environment involving Data Analysts, business stakeholders, and technology teams.
- Exposure to insurance and other large enterprise data ecosystems.





Reach us - If you think this role is aligned with your career, kindly write me an email along with your updated CV on [email protected] for a confidential discussion on the role.

Disclaimer - Crescendo Global specializes in senior to C-level niche recruitment. We are committed to providing an exceptional and inclusive hiring experience. We do not discriminate based on race, religion, color, origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Note: We receive a large number of applications daily; in case you do not hear back from us within one week, please assume your profile has not been shortlisted. Stay alert-scammers may misuse Crescendo Global's name for fake job offers. We never ask for money or system upgrades. Verify all roles at www.crescendo-global.com.

Scammers can misuse Crescendo Global's name for fake job offers. We never ask for money, purchases, or system upgrades. Verify all opportunities at www.crescendo-global.com and report fraud immediately. Stay alert!

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📌 Data Engineering, AWS - 5-8 years - Gurugram job in India
🏢 Crescendo Global
📍 India