Data Engineering Expert for Azure Cloud Solutions

1 day ago


Bengaluru, Karnataka, India Quantzig Full time

About Quantzig:

Quantzig is a leading 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 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. Our company website is https://www.quantzig.com. Find out more about the company at https://www.quantzig.com/advanced-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's value chain.

Job Description

We are seeking a highly skilled Senior Data Engineer for our Bengaluru (WFO) location. The ideal candidate will have 4-6 years of experience in data engineering teams with hands-on experience in Azure cloud technologies.

The salary range for this position is approximately ₹25,00,000 - ₹35,00,000 per annum, depending on qualifications and experience.

Responsibilities:

  • Design and develop Data Processing using various ETL tools for data ingesting, cleansing, transforming, and job orchestration in Azure cloud environment.
  • Design and implement Data Security by role-based access control as well as masking and encrypting sensitive data.
  • Monitor and optimize Data Storage and Data Processing using Monitoring Tools as well as implementing archive concept and query tuning.
  • Very good hands-on experience working with Synapse Pipelines (ADF knowledge is also good), Spark Pools, Synapse SQL pools, and SQL Managed Instance.
  • Deep understanding of cloud technologies and delivering high-quality large-size projects on time.
  • Very good knowledge in Azure Synapse Data Pipelines (ADF knowledge is also good).
  • Deep knowledge in PySpark, Spark SQL, T-SQL.
  • Good to have knowledge in Azure Functions App (coded in Python).


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