Data Streaming
2 weeks ago
Job Description:
Spark/Scala/PySpark developer who knows how to fully exploit the potential of our Spark cluster.
Should have ability to clean, transform, and analyze vast amounts of raw data from various systems using Spark to provide ready-to-use data.
**Responsibilities**:
Create Scala/Spark/Pyspark jobs for data transformation and aggregation
Produce unit tests for Spark transformations and helper methods
Write Scaladoc-style documentation with all code
Design data processing pipelines
**Skills**:Pyspark
Scala (with a focus on the functional programming paradigm)
Apache Spark 2.x, 3.x
- Apache Spark RDD API
- Apache Spark SQL DataFrame API
- Apache Spark Streaming API
Spark query tuning and performance optimization
SQL database integration (Postgres, and/or MySQL)
Experience working with HDFS, AWS ( S3, Redshift, EMR, IAM, Polices, Routing)
CI-CD Pipleline, Jenkins, Gitlab /Bitbucket
Deep understanding of distributed systems (e.g. partitioning, replication, consistency, and consensus)
**Salary**: ₹300,000.00 - ₹1,500,000.00 per year
Schedule:
- Day shift
Ability to commute/relocate:
- Pune, Maharashtra: Reliably commute or planning to relocate before starting work (required)
**Experience**:
- total work: 3 years (preferred)
Work Location: One location
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