Desired Experience Range 5-12 years Location of Requirement Mumbai Powai Only Desired Competencies (Technical/Behavioral Competency) Must-Have (Ideally should not be more than 3-5) - Minimum 5+ years of experience in development of Spark Scala

- Experience in designing and development of solutions for Big Data using Hadoop ecosystem technologies such as with Hadoop Bigdata components like HDFS, Spark, Hive Parquet File format, YARN, MapReduce, Sqoop
- Good Experience in writing and optimizing Spark Jobs, Spark SQL etc. Should have worked on both batch and streaming data processing.
- Experience in writing and optimizing complex Hive and SQL queries to process huge data. good with UDFs, tables, joins, Views etc
- Experience in debugging the Spark code
- Working knowledge of basic UNIX commands and shell script




- Experience of Autosys, Gradle Good-to-Have - Good analytical and debugging skills
- Ability to coordinate with SMEs, stakeholders, manage timelines, escalation & provide on time status
- Write clear and accurate documentation / specification
- Work in an agile environment
- Create documentation and document all developed mappings SN Responsibility of / Expectations from the Role 1 Create Scala/Spark jobs for data transformation and aggregation 2 Produce unit tests for Spark transformations and helper methods 3 Write Scaladoc-style documentation with all code 4 Design data processing pipelines

📌 Scala Lead (Mumbai)
🏢 Tata Consultancy Services
📍 Mumbai