Chief Data Engineering Expert

2 days ago


Ajmer, Rajasthan, India beBeeDataEngineer Full time ₹ 15,00,000 - ₹ 20,25,000

Big Data Engineer Opportunity

MResult is a global digital solutions partner trusted by leading Fortune 500 companies in industries such as pharma & healthcare, retail, and BFSI.

As part of our team, you will collaborate with top minds in the industry to deliver cutting-edge solutions that solve real-world challenges.

Key Responsibilities:

  • Design, develop, and deploy scalable data pipelines and ETL processes using Databricks.
  • Optimize Spark jobs and ensure efficient data processing and storage.
  • Develop and maintain Databricks notebooks, workflows, and dashboards.
  • Troubleshoot and resolve data pipeline issues and performance bottlenecks.
  • Monitor and manage data processing jobs to ensure high availability and reliability.
  • Work with cloud platforms such as AWS, Azure, or Google Cloud to integrate Databricks with other services.
  • Stay current with the latest Databricks and big data technologies and trends.

Requirements:

  • 6+ years of experience in development and maintenance in a data engineering project.
  • Collaborate with stakeholders to understand data requirements and translate them into technical solutions.
  • Experienced in writing complex SQL queries and knowledge of SQL Analytical functions.
  • Proficient in building and optimizing data pipelines and workflows in Databricks.
  • Knowledge of programming languages such as Python, Scala.
  • Experience working in any one ETL tool like Informatica (other than Databricks) is good to have.
  • Experience working in cloud platforms (Azure/AWS platforms) and familiar with the cloud tools and technologies.

Benefits:

  • Great work is rewarded, and leaders are nurtured from within.
  • Our values — Agility, Collaboration, Client Focus, Innovation, and Integrity — are woven into our culture, guiding every decision.

Why Join Us?

At MResult, you can leave your mark on projects at the world's most recognized brands, access opportunities to grow and upskill, and do your best work with the flexibility of hybrid work models.



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