Project Role : 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 : Data Engineering, Databricks Unified Data Analytics Platform, 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, your typical day involves designing, developing, and maintaining comprehensive data solutions that support the generation, collection, and processing of data. You will be responsible for creating efficient data pipelines that facilitate smooth data flow and ensure the integrity and quality of data throughout its lifecycle. Your role includes implementing extract, transform, and load processes to enable seamless migration and deployment of data across various systems, contributing to the overall data infrastructure and operational efficiency within the organization.

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.
Collaborate with cross-functional teams to understand data requirements and deliver scalable data solutions.
Continuously monitor and optimize data pipelines to improve performance and reliability.
Document data processes and workflows to support knowledge sharing and maintainability.
Assist junior team members by providing guidance and support in their tasks.

Professional & Technical Skills:

Must To Have Skills: Proficiency in Data Engineering, Databricks Unified Data Analytics Platform, PySpark.
Strong experience in building and managing scalable data pipelines and workflows.
Familiarity with data storage solutions and data modeling techniques.
Ability to troubleshoot and resolve data-related issues efficiently.
Knowledge of data integration and ETL best practices.

Additional Information:

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