Scala Developer

1 day ago

Mumbai, India Tata Consultancy Services Limited Full time

Job Description Role Overview The role focuses on designing, developing, and optimizing large-scale data processing solutions using Spark Scala and Hadoop ecosystem technologies. The position requires strong expertise in big data components, distributed processing, SQL optimization, and end-to-end pipeline development in both batch and streaming environments. Key Responsibilities - Create Spark Scala jobs for data transformation, aggregation, and large-scale data processing - Design and implement data processing pipelines using Hadoop ecosystem tools such as HDFS, Hive, YARN, MapReduce, and Sqoop - Write and optimize Spark jobs, Spark SQL queries, and streaming/batch data processing flows - Develop and optimize complex Hive and SQL queries involving UDFs, joins, views, and large datasets - Debug Spark code and enhance performance for distributed applications - Utilize UNIX commands and shell scripting for automation and environment handling - Work with Autosys and Gradle for job scheduling and build management - Produce unit tests for Spark transformations and associated helper methods - Write clear Scaladoc-style documentation for all developed code - Collaborate with SMEs and stakeholders to meet timelines and ensure accurate status reporting - Create and maintain detailed documentation for developed mappings and processes - Work effectively within an agile environment Required Experience & Skills - Minimum 5+ years of experience in Spark Scala development - Strong experience with Hadoop ecosystem components (HDFS, Spark, Hive, Parquet, YARN, MapReduce, Sqoop) - Experience with batch and streaming data processing - Strong SQL and Hive query optimization skills - Experience in debugging and performance tuning Spark applications - Knowledge of UNIX commands and shell scripting - Hands-on experience with Autosys and Gradle - Strong analytical and problem-solving abilities - Ability to work with multiple teams, manage timelines, and maintain documentation

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