Senior Data Architect Position

7 days ago

Noida, Uttar Pradesh, India beBeeBigDataEngineer Full time ₹ 15,00,000 - ₹ 28,00,000

We are seeking a highly skilled Data Engineer with deep expertise in Big Data technologies and AWS Cloud Services. The ideal candidate will bring strong hands-on experience in designing, architecting, and implementing scalable data engineering solutions while driving innovation within the team.

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)

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