Scala Spark Developer

Responsibilities :

5+ years of in depth hands on experience of developing, testing, deployment and debugging of Spark Jobs using Scala in Hadoop Platform In depth knowledge of Spark Core, working with RDDs, Spark SQL In depth knowledge on Spark Optimization Techniques and Best practices Good Knowledge of Scala Functional Programming: Try, Option, Future, Collections Good Knowledge of Scala OOPS: Classes, Traits and Objects (Singleton and Companion), Case Classes? Good Understanding of Scala Language Features: Type System, Implicit/Givens Hands on experience of working in Hadoop Environment (HDFS/Hive), AWS S3, EMR Working experience on Workflow Orchestration tools like Airflow, Oozie Working with API calls in Scala Understanding and exposure to file formats such as Apache AVRO, Parquet, JSON Good to have knowledge of Protocol Buffers and Geospatial data analytics. Writing Test cases using frameworks such as scalatest. Good Knowledge of Build Tools such as: Gradle & SBT in depth Experience on using GIT, resolving conflicts, working with branches. Good to have Python programming skills Good to have worked on some workflow systems as Airflow Strong programming skills using data structures and algorithms. Excellent analytical skills Good communication skills

Additional Responsibilities:

Ability to work with clients to identify business challenges and contribute to client deliverables by refining, analyzing, and structuring relevant data

Awareness of latest technologies and trends

Logical thinking and problem solving skills along with an ability to collaborate

Ability to assess the current processes, identify improvement areas and suggest the technology solutions

One or two industry domain knowledge

Technical and Professional Requirements:

Primary skills:Technology- Big Data - Data Processing- Spark,Technology- Cloud Platform- Amazon Webservices DevOps,Technology- Finacle-Core-Ops- Multi-Entity- Advance,Technology- Functional Programming- Scala