Job Description

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 :

Apache Spark

Good to have skills :

Python (Programming Language), Google BigQuery, PySpark, No Technology Specialty

Minimum

5

year(s) of experience is required

Educational Qualification :

15 years full time education



Summary: As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver effective solutions that meet organizational needs. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Mentor junior team members to enhance their skills and knowledge in data engineering. Professional & Technical Skills: - Must To Have Skills: Proficiency in Apache Spark. - Good To Have Skills: Experience with Python (Programming Language), PySpark, Google BigQuery. - Strong understanding of data pipeline architecture and design. - Experience with ETL processes and data warehousing solutions. - Familiarity with data quality frameworks and best practices. Additional Information: - The candidate should have minimum 5 years of experience in Apache Spark. - This position is based at our Bengaluru office. - A 15 years full time education is required.




15 years full time education