Project Role : Application Developer
Project Role Description : Design, build and configure applications to meet business process and application requirements.
Must have skills : Apache Spark
Good to have skills : NA
Minimum 3 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 Apache Spark. Roles & Responsibilities: - Collaborate with Integration Architects and Data Architects to design and implement data platform components using Apache Spark. - Assist with the development and deployment of data pipelines and ETL processes using Apache Spark. - Ensure data quality and integrity by implementing data validation and cleansing techniques using Apache Spark. - Optimize data processing and storage using Apache Spark and other big data technologies. - Troubleshoot and resolve issues related to data processing and storage using Apache Spark and other big data technologies. Professional & Technical Skills: - Must To Have Skills: Proficiency in Apache Spark. - Good To Have Skills: Experience with other big data technologies such as Hadoop, Hive, and Kafka. - Strong understanding of data modeling and database design principles. - Experience with data pipeline development and ETL processes. - Familiarity with cloud-based data platforms such as AWS or Azure. Additional Information: - The candidate should have a minimum of 3 years of experience in Apache Spark. - The ideal candidate will possess a strong educational background in computer science, software engineering, or a related field, along with a proven track record of delivering impactful data-driven solutions. - This position is based at our Mumbai office.

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