Module Lead

Job DescriptionJob Summary –Design, develop, and maintain scalable data pipelines using Apache Spark and Java.Implement data processing workflows and ETL processes to ingest, transform, and store large volumes of data.Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver high-quality data solutions.Optimize and tune data processing jobs for performance and cost-efficiency.Ensure data quality, integrity, and security across all data pipelines and storage solutions.Develop and maintain data models, schemas, and documentation.Monitor and troubleshoot data pipeline issues, ensuring high availability and reliability.Hands-on experience with AWS services, including S3, EMR, Lambda, and Glue.About MphasisMphasis applies next-generation technology to help enterprises transform businesses globally. Customer centricity is foundational to Mphasis and is reflected in the Mphasis’ Front2Back™ Transformation approach. Front2Back™ uses the exponential power of cloud and cognitive to provide hyper-personalized (C=X2C2TM=1) digital experience to clients and their end customers. Mphasis’ Service Transformation approach helps ‘shrink the core’ through the application of digital technologies across legacy environments within an enterprise, enabling businesses to stay ahead in a changing world. Mphasis’ core reference architectures and tools, speed and innovation with domain expertise and specialization are key to building strong relationships with marquee clients.