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Data Pipeline Architect Job Opening In India, India – Now Hiring Coforge


Job description

Coforge Ltd is Hiring for Big Data Engineer – AWS, Spark & Scala.


Must Have Skills:- AWS, Spark & Scala.

Experience Required: 3 to 6 Years

Job Locations: Pune, Hyderabad, Greater Noida Only.

Send your CV to: gaurav.2.kumar@coforge.com

For queries, contact via WhatsApp: 9667427662



Key Responsibilities:-



- Design, develop, and optimize Big Data architectures leveraging AWS services for large-scale, complex data processing.



- Build and maintain data pipelines using Spark (Scala) for both structured and unstructured datasets.



- Architect and operationalize data engineering and analytics platforms (AWS preferred;
Hortonworks, Cloudera, or MapR experience a plus).



- Implement and manage AWS services including EMR, Glue, Kinesis, DynamoDB, Athena, CloudFormation, API Gateway, and S3.



- Work on real-time streaming solutions using Kafka and AWS Kinesis.



- Support ML model operationalization on AWS (deployment, scheduling, and monitoring).



- Analyze source system data and data flows to ensure high-quality, reliable data delivery for business needs.



- Write highly efficient SQL queries and support data warehouse initiatives using Apache NiFi, Airflow, and Kylo.



- Collaborate with cross-functional teams to provide technical leadership, mentor team members, and strengthen the data engineering capability.



- Troubleshoot and resolve complex technical issues, ensuring scalability, performance, and security of data solutions.



Mandatory Skills & Qualifications:-



- Solid hands-on experience in Big Data Technologies (AWS, Scala, Hadoop, and Spark Mandatory)


- Proven expertise in Spark with Scala



- Hands-on experience with: AWS services (EMR, Glue, Lambda, S3, CloudFormation, API Gateway, Athena, Lake Formation)

Required Skill Profession

Computer Occupations


  • Job Details

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