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AWS-Scala Developer (Big Data)

5 years

0 Lacs

Noida Uttar Pradesh India

Posted:3 days ago| Platform: Linkedin logo

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Skills Required

aws scala developer data engineering design spark analytics dynamodb api kafka support ml model deployment scheduling analyze sql apache nifi airflow leadership resolve scalability security hadoop

Work Mode

On-site

Job Type

Full Time

Job Description

Job Title:

Location:

Experience:

About the Role-

Senior Big Data Engineer

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-

✅ 5+ years of 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)

Aarushi.Shukla@coforge.com

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