Job DescriptionRole: NWe are hiring a Lead DataEngineer 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. NWhat You Will Do: NFollowing are high level responsibilities that you will play but not limited to: Nn 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 juniordata engineers; establish coding and design standards. N Evaluate emerging technologies and tools to continuously improve the data ecosystem. NnRequired Qualifications:



Nn Bachelor's degreein 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, AWS, or GCP cloud data services. N Solid understanding of data modeling, data governance, security, and CI/CD practices. NnPreferred Qualifications: Nn Familiarity with data modeling techniques and practices for Power BI. N Knowledge of Azure Databricks or other data processing frameworks. N Knowledge of Microsoft Fabric or other Cloud Platforms. NnWhat we need?nB. Tech computer science or equivalent.

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