Data Engineer
4 days ago
Data Engineer - (PySpark + Hadoop)
Roles & Responsibilities
- Create Spark Scala/Pyspark jobs for data transformation and aggregation.
- Produce unit tests for Spark transformations and helper methods.
- Used Spark and Spark-SQL to read the parquet data and create the tables in hive using the Scala API.
- Work closely with Business Analysts team to review the test results and obtain sign off
- Prepare necessary design/operations documentation for future usage
- Perform peers Code quality review and be gatekeeper for quality checks
- Hands-on coding, usually in a pair programming environment
- Working in highly collaborative teams and building quality code
- Familiar with Oracle, Spark streaming, Kafka, ML.
- Ensure smooth production deployments as per plan and post-production deployment verification.
**Requirements**:
- Hadoop data engineer with total 4 - 10 years of experience and should have strong experience in Hadoop, Spark, Scala, Pyspark, Python, Hive, Impala, CI/CD, Git, Jenkins, Agile Methodologies, DevOps, Cloudera Distribution.
- Strong Knowledge in data warehousing Methodology.
- Min Relevant 4 years of Hadoop & Spark/Pyspark experience is mandatory.
- Strong in enterprise data architectures and data models
- Good experience in Core Banking, Finance domain
- Good to have Cloud experience on AWS.
**Job Type**: Contract
Contract length: 6 months
Pay: $4,500.00 - $5,100.00 per month
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