Cloud Native Data Engineer Leader

7 days ago

Bengaluru, Karnataka, India beBeeData Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Unlock a Data Platform Leadership Opportunity

We are looking for a seasoned data platform and DevOps engineering leader to spearhead the development and operations of our modern, cloud-native data infrastructure platform.

You will drive the architecture and execution of large-scale data processing, analytics systems, and DevOps practices that enable high-quality insights and rapid product iteration.

This is an excellent chance to build and maintain scalable and secure data infrastructure using tools like Apache Hadoop, Hive, Spark, Kafka, Airflow, and Delta Lake.

  • Data Platform & Engineering:
    • Develop robust ETL/ELT pipelines, data models, and streaming data workflows to support analytics, business intelligence, and machine learning use cases.
    • Optimize data storage and compute using cloud-native solutions (AWS S3, Redshift, EMR, Glue, Athena, etc.).
    • Integrate with modern data stack tools such as dbt, Snowflake, BigQuery, and Fivetran (or custom connectors).
    • Ensure data quality, lineage, cataloging, and observability using tools like Apache Atlas, Great Expectations, and Amundsen.
  • ML & Advanced Analytics Enablement:
    • Support Data Science and AI/ML teams by maintaining model pipelines and training infrastructure.
    • Enable MLOps frameworks using MLflow, SageMaker, PyTorch, or TensorFlow for seamless experimentation and deployment.
  • DevOps & Platform Engineering:
    • Lead the design and implementation of robust CI/CD pipelines, version control, testing, and deployment practices.
    • Implement Infrastructure as Code (IaC) using Terraform, Ansible, or Pulumi.
    • Manage containerization and orchestration platforms like Docker, Kubernetes (EKS preferred).
  • Leadership & People Management:
    • Hire, coach, and mentor a team of 8-12 data, devops and platform engineers.
    • Set clear objectives, track performance, and build a culture of ownership, continuous learning, and innovation.

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