Junior Data Engineer

4 hours ago

Chennai, Tamil Nadu, India Kauvery Hospital Full time ₹ 40,00,000 - ₹ 80,00,000 per year

Job Title: Junior Data Engineer (ETL, Development & Data Operations)

Role Type: Junior / Developer / Analyst

Experience: 0 - 2 Years

Location: MRC Nagar, Chennai

Role Overview

The Junior Data Engineer will play a key role in building, maintaining, and optimizing end-to-end data pipelines across modern cloud-based data platforms. The role involves supporting data ingestion, transformation, validation, and operational monitoring to ensure reliable, high-quality, and timely data delivery for analytics, reporting, and business decision-making.

Key Responsibilities

  • Design, develop, and maintain ETL pipelines using Databricks and PySpark.
  • Extract, transform, and integrate data from multiple sources, including APIs, databases, and flat files.
  • Implement and optimize data transformations and load curated datasets into Delta Tables.
  • Schedule, orchestrate, and monitor workflows using Databricks Workflows.
  • Perform daily data validation checks to ensure accuracy, completeness, and consistency of data loads.
  • Maintain and update data catalog, lineage documentation, and metadata repositories.
  • Generate and circulate success/failure reports, job run summaries, and operational dashboards.
  • Build and maintain data quality dashboards and monitoring tools using Power BI or Superset.
  • Collaborate with Data Leads, BI teams, and cross-functional stakeholders for schema design, data integration, and analytics support.
  • Troubleshoot ETL issues, apply error-handling logic, and contribute to pipeline performance optimization.

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Required Skills and Competencies

Technical Skills:

  • Programming: SQL, Python, PySpark
  • ETL Platforms & Tools: Databricks Notebooks, Databricks Workflows, Delta Lake
  • Cloud Storage: Azure Data Lake / AWS S3
  • Version Control: Git, GitHub
  • Data Quality & Reporting: Excel, Power BI, Superset

Knowledge Areas:

  • Strong understanding of ETL concepts, data integration, and data quality frameworks
  • Basic familiarity with data modeling and cloud-based architectures
  • Understanding of data governance, security, and metadata management principles

Soft Skills:

  • Analytical and problem-solving mindset
  • Strong attention to detail and process discipline
  • Effective communication and teamwork abilities
  • Eagerness to learn and adapt to new technologies

Education:

Bachelors degree in Computer Science, Information Technology, Data Science, or a related field.

Why Join Us:

  • Opportunity to work on cutting-edge data technologies and cloud platforms.
  • Collaborative environment with mentorship and learning opportunities.
  • Exposure to end-to-end data lifecycle management and real-world data engineering challenges.

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