Project Role : Application Developer
Project Role Description : Design, build and configure applications to meet business process and application requirements.
Must have skills : PySpark
Good to have skills : NA
Minimum 7.5 year(s) of experience is required
Educational Qualification : Graduate

Summary: As a Data Platform Engineer, you will be responsible for assisting with the blueprint and design of the data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models using PySpark. Roles & Responsibilities: - Collaborate with Integration Architects and Data Architects to design and implement data platform components using PySpark. - Assist with the development and deployment of data pipelines and ETL processes. - Ensure data quality and integrity by implementing data validation and cleansing techniques. - Optimize data processing and storage using PySpark and other big data technologies. - Troubleshoot and resolve data platform issues, working closely with cross-functional teams. Professional & Technical Skills: - Must To Have Skills: Proficiency in PySpark. - Good To Have Skills: Experience with other big data technologies such as Hadoop, Hive, and Spark. - Strong understanding of data modeling and database design principles. - Experience with data pipeline development and ETL processes. - Familiarity with data validation and cleansing techniques. - Solid grasp of distributed computing and parallel processing concepts. Additional Information: - The candidate should have a minimum of 7.5 years of experience in PySpark. - The ideal candidate will possess a strong educational background in computer science, data engineering, or a related field, along with a proven track record of delivering impactful data-driven solutions. - This position is based at our Bengaluru office.