Scala Spark Developer

Role Overview: As a Scala Spark Developer, you will be responsible for leveraging your expertise in Apache Spark, Big Data Hadoop Ecosystem, SparkSQL, and Scala to design and develop big data platforms. Your deep understanding of modern data processing technology stacks and streaming data architectures will be pivotal in enabling real-time and low-latency data processing. Key Responsibilities: - Possessing 5+ years of Scala and Spark experience, with a focus on Data Engineering - Demonstrating hands-on experience in the design and development of big data platforms - Utilizing expertise in Spark, HBase, Hive, and other Hadoop ecosystem technologies for development using Scala - Understanding and implementing streaming data architectures and technologies for real-time and low-latency data processing - Applying agile development methods and principles, including Continuous Integration/Delivery - Having experience with NoSQL technologies and a passion for software craftsmanship - Demonstrating strong knowledge of Spark internals, configuration, memory management, Scala, and Databricks Qualifications Required: - 5+ years of experience in Scala and Spark - Expertise in Data Engineering - Deep understanding of modern data processing technology stacks - Hands-on experience with Spark, HBase, Hive, and other Hadoop ecosystem technologies - Proficiency in Scala and SparkSQL - Experience with agile development methods - Understanding of Continuous Integration/Delivery principles - Familiarity with NoSQL technologies is a plus - Passion for software craftsmanship - Experience in the Financial Industry is a plus Please share your updated resume to preethi.r@ltimindtree.com to apply for this role.,