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Job Location drjobs

Bangalore - India

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Location: Bangalore (Hybrid)

Experience: 28 years

Type: Full-time


What Were Looking For

Our Client KJBN Labs is looking for a Data Engineer who thrives in building scalable data pipelines and is passionate about transforming raw data into meaningful insights. You should have hands-on experience handling large-scale data automating ETL workflows and working with modern data lake/lakehouse architectures.


Key Responsibilities

  • Design develop and optimize ETL pipelines using Spark Python and modern data engineering tools.
  • Work with data lakes/lakehouses (Delta Lake Apache Iceberg etc.) to manage and process structured and semi-structured data.
  • Ensure high-quality data ingestion transformation and validation processes.
  • Optimize pipelines to handle millions of records/day with high reliability and performance.
  • Collaborate with analysts data scientists and product teams to understand data needs and build reusable data models.
  • Monitor debug and enhance workflows with robust error handling and logging.
  • Work with complex datasets across domains like customer behavior real-time logs transactions or sensor data.
  • Data Engineering & Architecture: Design and optimize scalable secure data pipelines and storage solutions (data lakes warehouses) integrating structured and unstructured data from diverse sources.
  • Performance Governance & Automation: Ensure system performance cost-efficiency and compliance through automation best practices and data governance policies.
  • Collaboration & Leadership: Collaborate with cross-functional teams to support analytics and ML needs while mentoring junior engineers and resolving complex data issues


Key Skills & Technologies

  • Strong programming skills in Python
  • Deep experience with ETL development and Spark (PySpark/Scala)
  • Hands-on experience working with Data Lake or Lakehouse architectures (S3 Delta Lake Iceberg Hudi etc.)
  • Familiarity with streaming data and batch processing
  • Experience working with large volumes (e.g. 100M rows/day) of diverse datasets
  • Bonus: Exposure to Rust is a plus but not mandatory


Why Join KJBN

  • Work on impactful large-scale data systems powering real business outcomes
  • Collaborate with a high-performing data team
  • Flexible work environment with opportunities for ownership and innovation

Ready to build the future of data infrastructure with us Apply now!


Required Experience:

Manager

Employment Type

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