Big Data AWS Engineer :

Location : Bengaluru / Gurugram (Work from the Office).

Experience : 69 Years.

Employment Type : Full-Time.

About the Role :

We are looking for an experienced Big Data AWS Engineer to join our growing team and build scalable, cloud-native data platforms for the US Healthcare domain.

The ideal candidate will have strong expertise in AWS, Big Data technologies, and modern data engineering practices, with hands-on experience designing high-performance data pipelines and analytics solutions.

Key Responsibilities :

- Design, develop, and maintain scalable ETL pipelines and data integration solutions using AWS services.

- Build batch and real-time data processing applications using Apache Spark and Kafka.

- Develop and optimize data ingestion, transformation, and data lake solutions.

- Work with large healthcare datasets, including Claims, Membership, Benefits, Provider, Clinical, and Healthcare Analytics.

- Design efficient data models and support enterprise analytics platforms.

- Optimize SQL queries, indexing strategies, and overall data platform performance.

- Collaborate with architects, business analysts, and cross-functional teams to deliver data-driven solutions.

- Ensure data quality, governance, security, and compliance standards are met.

- Support production deployments, monitoring, troubleshooting, and performance tuning.

Required Skills & Experience :

Mandatory Requirements :

- 69 years of experience in Big Data and Cloud Data Engineering.

- Minimum 3+ years of experience in the US Healthcare domain (Claims, Membership, Benefits, Provider, Clinical, or Healthcare Analytics).

- Strong hands-on experience with AWS and large-scale data processing platforms.

- Excellent problem-solving and analytical skills.

Technical Skills :

- AWS : Lambda, Glue, S3, EMR, RDS, IAM, CloudWatch.

- Big Data : Apache Spark, Spark Streaming, Kafka, Hive.

- Programming : Scala, Java, or Python.

- Databases : MySQL, PostgreSQL, Elasticsearch, NoSQL.

- Strong SQL, data modeling, query optimization, and indexing expertise.

- Linux/Unix shell scripting.

- Experience building both batch and real-time data processing pipelines.

Preferred Qualifications :

- Experience working in Agile/Scrum environments.

- Knowledge of healthcare data standards and regulatory compliance.

- AWS Certification is an added advantage.

Education :

- Bachelor's degree in computer science, Information Technology, Engineering, or a related field.

What We Offer :

- Opportunity to work on enterprise-scale cloud and Big Data projects.

- Exposure to modern AWS technologies and large-scale data engineering solutions.

- Collaborative, fast-paced, and innovative work environment.

- Competitive compensation and career growth opportunities.

Contact Information :

Interested candidates can share your CV at seema.bisht@glovetalent.com.