Big Data Engineer

7 days ago

Singapore Capgemini Full time

**Roles and Responsibilities:
- **Develop Spark Scala and PySpark jobs for data transformation and aggregation.**
- **Create unit tests for Spark transformations and helper methods.**
- **Utilize Spark and Spark SQL to read parquet data and create tables in Hive using the Scala API.**
- **Collaborate closely with the Business Analysts team to review test results and obtain sign-off.**
- **Prepare design and operations documentation for future reference.**
- **Conduct peer code quality reviews and act as a gatekeeper for quality checks.**
- **Engage in hands-on coding, often in a pair programming environment.**
- **Work within highly collaborative teams to build high-quality code.
**Qualifications and Requirements:
- **4-10 years of experience as a Hadoop data engineer.**
- **Strong expertise in Hadoop, Spark, Scala, PySpark, Python, Hive, and Impala.**
- **Familiarity with Oracle, Spark streaming, Kafka, and machine learning (ML).**
- **Proficiency in Agile methodologies, CI/CD, Git, Jenkins, and Cloudera Distribution.**
- **Experience in Core Banking or Finance domains is desirable.**
- **Cloud experience with AWS is a plus.

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