Data Solutions Architect

19 hours ago

Kottayam, Kerala, India beBeeEngineer Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Big Data Engineer Job Description

This is an exciting opportunity for a highly skilled Big Data Engineer to join our team. We are seeking someone with deep expertise in designing, architecting, and implementing scalable data engineering solutions using AWS Cloud Services.

Key Responsibilities
  • Design and Develop Big Data Architectures: You will be responsible for designing and developing big data architectures leveraging AWS services for large-scale, complex data processing.
  • Build and Maintain Data Pipelines: Build and maintain data pipelines using Spark (Scala) for both structured and unstructured datasets.
  • Architect and Operationalize Data Engineering Platforms: Architect and operationalize data engineering and analytics platforms (AWS preferred; Hortonworks, Cloudera, or MapR experience a plus).
  • Implement and Manage AWS Services: Implement and manage AWS services including EMR, Glue, Kinesis, DynamoDB, Athena, CloudFormation, API Gateway, and S3.
  • Work on Real-Time Streaming Solutions: Work on real-time streaming solutions using Kafka and AWS Kinesis.
  • Support ML Model Operationalization: Support ML model operationalization on AWS (deployment, scheduling, and monitoring).
  • Ensure High-Quality Data Delivery: Analyze source system data and data flows to ensure high-quality, reliable data delivery for business needs.
  • Collaborate with Cross-Functional Teams: Collaborate with cross-functional teams to provide technical leadership, mentor team members, and strengthen the data engineering capability.
  • Troubleshoot and Resolve Complex Technical Issues: 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: Solid hands-on experience in Big Data Technologies (AWS, Scala, Hadoop and Spark Mandatory)
  • Proven Expertise in Spark with Scala: Proven expertise in Spark with Scala
  • Hands-on Experience with AWS Services: Hands-on experience with: AWS services (EMR, Glue, Lambda, S3, CloudFormation, API Gateway, Athena, Lake Formation)

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