Senior Data Architecture Specialist

2 days ago

Chennai, Tamil Nadu, India beBeeDataEngineer Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

Job Summary:

Our organization is seeking a skilled Data Engineer to play a pivotal role in designing and developing high-performance data pipelines using Apache Kafka and Apache Flink. This position will involve collaborating closely with cross-functional teams to build scalable MLOps pipelines for model training, validation, and deployment using AWS SageMaker and related services.

Key Responsibilities:

  • Design and develop high-performance ETL and real-time data pipelines using Apache Kafka and Apache Flink.
  • Build scalable and automated MLOps pipelines for model training, validation, and deployment using AWS SageMaker and related services.
  • Implement and manage Infrastructure as Code (IaC) using Terraform for AWS provisioning and maintenance.
  • Collaborate with ML, Data Science, and DevOps teams to ensure reliable and efficient model deployment workflows.
  • Optimize data storage and retrieval strategies for both structured and unstructured large-scale datasets.
  • Integrate and transform data from multiple sources into data lakes and data warehouses.
  • Monitor, troubleshoot, and improve performance of cloud-native data systems in a fast-paced production setup.
  • Ensure compliance with data governance, privacy, and security standards across all data operations.
  • Document data engineering workflows and architectural decisions for transparency and maintainability.

Requirements:

  • 5+ Years of experience as Data Engineer or in similar role.
  • Proven experience in building data pipelines and streaming applications using Apache Kafka and Apache Flink.
  • Strong ETL development skills, with deep understanding of data modeling and data architecture in large-scale environments.
  • Hands-on experience with AWS services, including SageMaker, S3, Glue, Lambda, and CloudFormation or Terraform.
  • Proficiency in Python and SQL; knowledge of Java is a plus, especially for streaming use cases.
  • Strong grasp of MLOps best practices, including model versioning, monitoring, and CI/CD for ML pipelines.
  • Deep knowledge of IaC tools, particularly Terraform, for automating cloud infrastructure.
  • Excellent analytical and problem-solving abilities, especially with regard to data processing and deployment issues.
  • Agile mindset with experience working in fast-paced, iterative development environments.
  • Strong communication and team collaboration skills.

What We Offer:

  • A dynamic work environment with opportunities for growth and professional development.
  • A collaborative team culture that values innovation and creativity.
  • Competitive compensation and benefits package.

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