Quantzig | Data Engineer | bangalore

23 hours ago


bangalore, India Quantzig Full time
About Quantzig:
Quantzig is 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. We are a rapidly growing organization that is built and operated by high-performance champions
If you have what it takes to be the 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 Website: (QuantZig is a Group Company of Infiniti Research Ltd. )
Find out more about the company : Analytics Solutions and Big Data | Quantzig
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.
Databricks Developer
Experience- 6 to 8 years
Notice Period- Immediate only
Location- Bengaluru (WFO for 5 days)
Job Description:
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.
Join our team to lead the migration efforts and optimize our data infrastructure on Databricks.
Excellent problem-solving skills and a passion for data accessibility.

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