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Kafka, Python, and Azure Databricks

5 - 8 years

10 - 18 Lacs

Posted:16 hours ago| Platform: Foundit logo

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Skills Required

Work Mode

On-site

Job Type

Full Time

Job Description

Experience:5 to 8 years

Location :Bengaluru

Role Overview:

Tech Lead

Key Responsibilities:

  • Lead the design, development, and implementation

    of real-time data pipelines using

    Kafka, Python, and Azure Databricks

    .
  • Architect scalable

    data streaming and processing solutions

    to support healthcare data workflows.
  • Develop, optimize, and maintain

    ETL/ELT pipelines

    for structured and unstructured healthcare data.
  • Ensure

    data integrity, security, and compliance

    with healthcare regulations (HIPAA, HITRUST, etc.).
  • Collaborate with data engineers, analysts, and business stakeholders to understand requirements and translate them into technical solutions.
  • Troubleshoot and optimize

    Kafkastreaming applications, Python scripts, and Databricks workflows

    .
  • Mentor junior engineers, conduct code reviews, and ensure best practices in

    data engineering

    .
  • Stay updated with the latest

    cloud technologies, big data frameworks, and industry trends

    .

Required Skills & Qualifications:

  • 4+ years of experience

    in data engineering, with strong proficiency in

    Kafkaand Python

    .
  • Expertise in

    KafkaStreams,KafkaConnect, and Schema Registry

    for real-time data processing.
  • Experience with

    Azure Databricks

    (or willingness to learn and adopt it quickly).
  • Hands-on experience with

    cloud platforms (Azure preferred, AWS or GCP is a plus)

    .
  • Proficiency in

    SQL, NoSQL databases, and data modeling

    for big data processing.
  • Knowledge of

    containerization (Docker, Kubernetes)

    and CI/CD pipelines for data applications.
  • Experience working with

    healthcare data (EHR, claims, HL7, FHIR, etc.)

    is a plus.
  • Strong analytical skills, problem-solving mindset, and ability to lead complex data projects.
  • Excellent communication and stakeholder management skills.

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