Freelance Data Engineer

6 days ago

Chennai, Tamil Nadu, India ThreatXIntel Full time ₹ 15,00,000 - ₹ 25,00,000 per year

Company Description

ThreatXIntel is a startup cyber security company dedicated to protecting businesses and organizations from cyber threats. Our team offers a range of services such as cloud security, web and mobile security testing, and DevSecOps. With a focus on delivering customized, affordable solutions, ThreatXIntel ensures high-quality cyber security for businesses of all sizes. We take a proactive approach to security, continuously monitoring and testing digital environments to identify vulnerabilities. Our mission is to provide exceptional cyber security services that give our clients peace of mind.

Role Description

Responsibilities

  • Design, build, and maintain
    scalable data pipelines
    and ETL/ELT processes using
    PySpark, Databricks, and Snowflake
    .
  • Develop and optimize
    data models
    in Snowflake for analytics and reporting.
  • Implement
    Azure data services
    (Azure Data Lake, Azure Synapse, Azure Data Factory, Event Hub, etc.) to integrate structured and unstructured data sources.
  • Engineer
    batch and streaming data flows
    to support real-time analytics and BI use cases.
  • Ensure
    data quality, performance, and governance
    across all pipelines and storage layers.
  • Collaborate with analysts, data scientists, and business stakeholders to deliver reusable datasets and enable self-service analytics.
  • Apply best practices for
    CI/CD, version control, and DevOps
    in data engineering workflows.
  • Provide technical recommendations on architecture, performance tuning, and cost optimization in the Azure ecosystem.

Qualifications

  • Experience:
    4+ years in data engineering with a strong focus on
    Snowflake, Databricks, and PySpark
    .
  • Cloud:
    Hands-on expertise with
    Azure Data Services
    (ADF, Data Lake, Synapse, Event Hub, Key Vault, etc.).
  • Programming:
    Advanced proficiency in
    Python (PySpark)
    and SQL for data transformations.
  • Data Warehousing:
    Strong knowledge of
    schema design, partitioning, clustering, and query optimization
    in Snowflake.
  • Pipelines & Orchestration:
    Experience with
    Azure Data Factory, Airflow, or similar tools
    .
  • Best Practices:
    Familiarity with
    CI/CD pipelines, Git, Terraform/ARM templates
    .
  • Excellent problem-solving, communication, and stakeholder collaboration skills.

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