Data Engineer

Overview

Data Engineer

Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.

Must have skills : PySpark

Good to have skills : NA

Minimum 3 Year(s) Of Experience Is Required

Educational Qualification : 15 years full time education

Summary

As a Data Engineer, you will engage in the design, development, and maintenance of data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating robust data pipelines, ensuring the integrity and quality of data, and implementing efficient ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and contribute to the overall data strategy, ensuring that the solutions you develop align with organizational goals and standards.

Roles & Responsibilities

• Expected to perform independently and become an SME.
• Required active participation/contribution in team discussions.
• Contribute in providing solutions to work related problems.
• Assist in the design and implementation of data architecture to support data initiatives.
• Collaborate with data scientists and analysts to understand data needs and provide necessary data solutions.
  
  

• Must To Have Skills: Proficiency in PySpark.
• Strong understanding of data modeling concepts and database design.
• Experience with ETL tools and processes to ensure efficient data flow.
• Familiarity with cloud platforms such as AWS or Azure for data storage and processing.
• Knowledge of data governance and data quality best practices.
  
  

• The candidate should have minimum 3 years of experience in PySpark.
• This position is based at our Hyderabad office.
• A 15 years full time education is required.