Senior Large-Scale Data Architect

5 days ago

Ellore, Andhra Pradesh, India beBeeBigDataEngineer Full time ₹ 15,00,000 - ₹ 25,00,000
Big Data Engineer

At our organization, we're searching for a seasoned Big Data Engineer to spearhead the development and optimization of large-scale data engineering solutions using AWS services.

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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