Senior Principal Engineer

4 days ago

Mumbai, Maharashtra, India Mercer Full time ₹ 12,00,000 - ₹ 36,00,000 per year

We are seeking a talented individual to join our Tech team at MMC Corporate.This role will be based in Gurgaon/ Noida/Pune/Mumbai. This is a hybrid role that has a requirement of working at least three days a week in the office.

Senior Principal Engineer Data Engineering

What can you expect?

As a Data Engineer, you will be responsible for designing and implementing scalable data pipelines and AI Based solution using Databricks. You will handle end-to-end ETL/ELT processes, manage large datasets, and work with tools like Python, PySpark, and AWS S3 to ensure data is transformed and optimized for analytical use.

Youll work on cutting-edge cloud and hybrid data projects, transforming raw data into meaningful insights and AI Analytics. Youll be hands-on from day one, collaborating closely with architects and business stakeholders.

What is in it for you?

  • Hybrid way of working
  • Diversify your experience and learn new skills
  • Opportunity to work with stakeholders globally to learn and grow

We will count on you to:

  • Develop and maintain data pipelines using Databricks and the Medallion Architecture (Bronze, Silver, Gold layers).
  • Design AI Based Solution using Databricks Genie and E2E integration.
  • Knowledge of exposing/consuming Databricks features via API using cloud-native tools or other application.
  • Write data transformation scripts using Python and PySpark.
  • Store and manage real time data in AWS S3 and integrate with other cloud-based services.
  • Use SQL to query, clean, and manipulate large datasets.
  • Collaborate with cross-functional teams to ensure data is accessible for business intelligence and analytics.
  • Monitor and troubleshoot data pipelines for performance and reliability.
  • Document data processes and follow best practices for scalability and maintainability.
  • Ingest and process structured and unstructured data across batch and streaming sources.

What you need to have:

  • Experience with Databricks components like : Pipeline, scheduled / event based job , Genie , Unity Catalog and Datawarehouse.
  • Proficiency in Python, PySpark, and SQL for data processing and transformation using AWS S3 data.
  • Experience in Data Governance , data access security , and information of configuring Job compute for different Jobs in Databricks.
  • Familiarity with version control using Git.
  • Understanding of Databricks API and its integration with different Tools and application.
  • Bulk data and real time data streaming understanding.
  • Experience with Delta Lake and other Databricks technologies. Knowledge of additional AWS services (e.g., Athena, Glue, Lambda, S3, DMS ).

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