Job Description

Role:

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We are hiring a Lead Data Engineer to build scalable cloud data platforms and up-to-date 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. Strong experience in PySpark, SQL, Python/Scala, and cloud platforms is required.

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What You Will Do:

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Following 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.
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- Architect and optimize data lake and warehouse solutions using Microsoft Fabric, Databricks, or Snowflake.
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- Enable business analytics and self-service reporting through Power BI and other visualization tools.
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- Collaborate with data scientists, analysts, and business users to deliver reliable and high-performance data solutions.
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- Implement and enforce best practices for data governance, data quality, and security.
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- Mentor and guide junior data engineers; establish coding and design standards.
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- Evaluate emerging technologies and tools to continuously improve the data ecosystem.
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Required Qualifications:

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

📌 Lead Data Engineer (Indore GPO)
🏢 Kanerika
📍 Indore GPO