Job Description
Role:
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nWe are hiring a Lead Data Engineer to build scalable cloud data platforms and modern ETL/ELT pipelines using Microsoft Fabric, Databricks, or Snowflake. The role involves designing Lakehouse/Data Warehouse solutions, enabling analytics, and leading data engineering best practices. Solid experience in PySpark, SQL, Python/Scala, and cloud platforms is required.
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nWhat You Will Do:
nFollowing are high level responsibilities that you will play but not limited to:
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- Lead the design, development, and implementation of modern data pipelines, data models, and ETL/ELT processes.n
- Architect and optimize data lake and warehouse solutions using Microsoft Fabric, Databricks, or Snowflake.n
- Enable business analytics and self-service reporting through Power BI and other visualization tools.n
- Collaborate with data scientists, analysts, and business users to deliver reliable and high-performance data solutions.n
- Implement and enforce best practices for data governance, data quality, and security.n




- Mentor and guide junior data engineers; establish coding and design standards.n
- Evaluate emerging technologies and tools to continuously improve the data ecosystem.n

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nRequired Qualifications:
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- Bachelor's degree in computer science, Information Technology, Engineering, or a related field.n
- Bachelor’s/Master’s degree in Computer Science, Information Technology, Engineering, or related field.n
- 8+ years of experience in data engineering or data platform development, with at least 2–3 years in a lead or architect role.n
- Strong hands-on experience in one or more of the following:n
- Microsoft Fabric (Data Factory, Lakehouse, Data Warehouse)n
- Databricks (Spark, Delta Lake, PySpark, MLflow)n
- Snowflake (Data Warehousing, Snowpipe, Performance Optimization)n
- Power BI (Data Modeling, DAX, Report Development)n
- Proficiency in SQL and programming languages like Python or Scala.n
- Experience with Azure, A

📌 Lead Data Engineer (Indore)
🏢 Kanerika
📍 Indore