Spark Scala Data Engineer

Role Descriptions: Essential Skills: Spark Scala Copilot said: Job Summary Developer (Spark Scala Data Engineer) Role: Developer Spark Scala Data Engineer Experience: 5 8 Years Open Positions: 1 Locations: Chennai, Kochi, Bhubaneswar (BBSR), Bangalore, Pune Reporting To: Tech Lead Team Size: 10 Members Core Technical Requirements Must-Have Skills Apache Spark Scala Hive Hadoop Big Data Engineering Data Pipeline Development Spark/Scala-based Data Transformations and Analytics Functional Programming using Scala and/or Python Application Design, Development, Optimization, and Maintenance Strong communication and stakeholder management skills Good-to-Have Skills Agile Development Methodology JIRA ALM/ADLM tools Team collaboration Multi-tasking and prioritization skills Key Responsibilities Design and develop scalable Big Data solutions using Spark, Scala, Hive, and Hadoop. Build, optimize, and maintain data processing applications and pipelines. Develop, test, debug, and modify applications independently. Integrate existing software into new or modified systems. Collaborate with business analysts, developers, and QA teams to deliver high-quality solutions. Work with business users on acceptance testing and requirement validation. Participate in continuous process improvement initiatives. Ideal Candidate Profile 5 8 years of experience in Data Engineering. Strong hands-on expertise in Spark and Scala. Experience handling large-scale data processing and ETL pipelines. Good understanding of distributed computing frameworks. Strong coding and problem-solving abilities. Experience interacting directly with clients and business stakeholders. Familiarity with Agile delivery models. Project Overview The client is a leading American information, data, and market measurement company operating in more than 100 countries. The organization helps consumer goods companies, retailers, and financial analysts understand consumer purchasing behavior across categories, brands, and products. USP of the Role Opportunity to build cloud-native applications using modern technologies. Exposure to large-scale data platforms and enterprise-grade Big Data solutions. Work with a globally recognized market intelligence organization. Interview Focus Areas Spark Architecture & Performance Tuning Scala Programming & Functional Concepts Data Pipeline Design Hive & Hadoop Ecosystem ETL Frameworks Distributed Computing Concepts Optimization Techniques Agile and Stakeholder Management This role is best suited for an experienced Spark Scala Data Engineer with strong Big Data development expertise and customer-facing communication skills. ", Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.