- 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
Valuable-to-Have
- Good analytical and debugging skills
- Ability to coordinate with SMEs, stakeholders, manage timelines, escalation & provide on time status
- Write clear and precise 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
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