Salary : Open

Work Timings : 2 : 30 PM to 11 : 30 PM IST

- Need someone who can join immediately.-

POSITION SUMMARY :

- Data Engineer for the Enterprise Data Hub Team. They will work with multiple stakeholders to develop data objects and pipelines on AWS Cloud Platform.

- They will work with other IT teams to work on data solution projects and deliver products.

- They will work on integrating many different system data sources and harmonize the process and data model.

Responsibilities :

- Design, develop, and deploy end-to-end data pipelines on AWS cloud infrastructure using services such as Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, etc.

- Implement data processing and transformation workflows using Apache Spark, and SQL to support analytics and reporting requirements.

- Build and maintain orchestration workflows to automate data pipeline execution, scheduling, and monitoring.

- Collaborate with analysts, and business stakeholders to understand data requirements and deliver scalable data solutions.

- Optimize data pipelines for performance, reliability, and cost-effectiveness, leveraging AWS best practices and cloud-native technologies.

Required Experience and Skill sets :

- Minimum 8+ years of experience building and deploying large-scale data processing pipelines in a production environment.

- Hands-on experience in designing and building data pipelines on AWS cloud infrastructure.

- Strong proficiency in AWS services such as Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, etc.

- Strong experience with Apache Spark for data processing and analytics.

- Hands-on experience on orchestrating and scheduling data pipelines using AppFlow, Event Bridge and Lambda.

- Solid understanding of data modeling, database design principles, and SQL and Spark SQL.

- Experience with version control systems (e.g., Git) and CI/CD pipelines.

- Excellent communication skills and the ability to collaborate effectively with cross-functional teams.

- Strong problem-solving skills and attention to detail.