Big Data Migration Engineer

3 days ago


Bengaluru, Karnataka, India Quantzig Full time

About Quantzig

We are a global analytics and advisory firm with offices in the US, UK, Canada, China, and India. We have assisted our clients across the globe with end-to-end advanced analytics, visual storyboarding, Machine Learning, and data engineering solutions implementation for prudent decision-making.

A rapidly growing organization built and operated by high-performance champions. If you have what it takes to be a champion with business and functional skills to take ownership of an entire project end-to-end, help build a team with great work ethic and a drive to learn, you are the one we're looking for.

The clients love us for our solutioning capability, our enthusiasm, and we expect you to be a part of our growth story.

Company Overview

We have developed exceptional expertise in advanced analytics and business intelligence solutions for transforming global organizations. Harness the power of our intelligent, actionable insights to solve complex problems and inspire innovation, change, and growth across your organization value chain.

Job Description: Big Data Migration Engineer

We are seeking a Data Engineer with 6-8 years of experience in Databricks, Python, and SQL.

The primary responsibility of this role is to migrate on-premises big data Spark and Impala/Hive scripts to the Databricks environment.

The ideal candidate will have a strong background in data migration projects and be proficient in transforming ETL pipelines to Databricks.

The role requires excellent problem-solving skills and the ability to work independently on complex data migration tasks.

Experience with big data technologies and cloud platforms (Azure) is essential.

Salary

Estimated salary range for this position is ₹25-35 lakhs per annum, based on location and industry standards.

Required Skills and Qualifications

Analyze and migrate existing big data infrastructure to the Databricks environment.

Maintain and optimize ETL pipelines to ensure efficient data processing.

Develop and implement data security measures to protect sensitive information.

Work collaboratively with cross-functional teams to achieve business objectives.

Bengaluru Location

This position is based in Bengaluru, with occasional travel to other locations as required.



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