Spark Scala Architect

As a Spark Scala Architect, you will play a crucial role in designing, developing, and optimizing Spark solutions for large-scale implementations on cloud platforms. Your expertise in Spark & Scala, Spark Streaming, HDFS, HBase, Hive, and MapReduce will be essential for analyzing, designing, and developing Spark batch job processing and Spark streaming applications. Your responsibilities will include: - Minimum 10-12 years of hands-on experience in Spark Scala, with a strong emphasis on Spark Streaming - Proficiency in designing, developing, debugging, and performance tuning of Scala code - In-depth knowledge of architecture concepts and the ability to propose and implement new ideas - Strong understanding of AWS components such as EMR, AWS S3, and EC2 - Experience with Hadoop technologies like HDFS, HBase, Hive, and MapReduce - Knowledge of Spring Core framework and Microservices architecture - Familiarity with underlying databases like Postgre and Couchbase - Ability to implement technical standards for software coding and tools - Reviewing and creating High-Level Design (HLD) and Low-Level Design (LLD) documentation - Leading teams for solution delivery, providing timely and high-quality communication - Mentoring and grooming junior team members to become reliable engineers - Collaborating with stakeholders and workstream leads to ensure optimal development environment - Resolving technical issues, establishing strong processes, and presenting technical solutions to clients - Performing deep analysis, effort estimation, and proactive proposal development - Adhering to defined coding standards, application frameworks, and architecture guidelines Please share your updated resume with Aditya Utekar at aditya.utekar2@ltimindtree.com to be considered for this position.,