Lead Data Engineer

2 days ago

Ahmedabad Hyderabad Indore, India Kanerika Software Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Job Location: Hyderabad, Indore and Ahmedabad (India)

What You Will Do:

Following are high level responsibilities that you will play but not limited to:

  • Lead the design, development, and implementation of modern data pipelines, data models, and ETL/ELT processes.
  • Architect and optimize data lake and warehouse solutions using Microsoft Fabric, Databricks, or Snowflake.
  • Enable business analytics and self-service reporting through Power BI and other visualization tools.
  • Collaborate with data scientists, analysts, and business users to deliver reliable and high-performance data solutions.
  • Implement and enforce best practices for data governance, data quality, and security.
  • Mentor and guide junior data engineers; establish coding and design standards.
  • Evaluate emerging technologies and tools to continuously improve the data ecosystem.

Required Qualifications:

  • Bachelor's degree in computer science, Information Technology, Engineering, or a related field.
  • Bachelors/Masters degree in Computer Science, Information Technology, Engineering, or related field.
  • 8+ years of experience in data engineering or data platform development, with at least 23 years in a lead or architect role.
  • Strong hands-on experience in one or more of the following:
  • Microsoft Fabric (Data Factory, Lakehouse, Data Warehouse)
  • Databricks (Spark, Delta Lake, PySpark, MLflow)
  • Snowflake (Data Warehousing, Snowpipe, Performance Optimization)
  • Power BI (Data Modeling, DAX, Report Development)
  • Proficiency in SQL and programming languages like Python or Scala.
  • Experience with Azure, AWS, or GCP cloud data services.
  • Solid understanding of data modeling, data governance, security, and CI/CD practices.

Preferred Qualifications:

  • Familiarity with data modeling techniques and practices for Power BI.
  • Knowledge of Azure Databricks or other data processing frameworks.
  • Knowledge of Microsoft Fabric or other Cloud Platforms.

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