Data Engineer
4 days ago
About the Role
The Data Engineer will be responsible for designing, developing, and maintaining large-scale data processing systems to support the Consumer Banking Group's technology infrastructure. This includes extracting data from source systems, transforming it into a usable format, and loading it into data warehouses and data marts.
Responsibilities
- Design and develop scalable data pipelines using Spark and Scala to extract data from source systems and load it into data warehouses and data marts.
- Develop and maintain complex data transformation logic using Hive and Spark-SQL to ensure data integrity and quality.
- Work with Kafka and Spark Streaming to handle real-time data processing and event-driven systems.
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
- Maintain and improve the overall data engineering infrastructure to ensure high performance, scalability, and reliability.
Requirements
- 6+ years of experience in designing and developing large-scale data processing systems using Spark, Scala, and Hive.
- Extensive experience in working with Hadoop ecosystem components, including HBase, ZooKeeper, Kafka, and Flume.
- Strong understanding of data transformation logic and ability to translate it into Spark-SQL queries.
- Unix Shell Scripting and CRON job management experience.
- Experience with Cloudera distribution framework, Oozie Workflow, and Jenkins.
- Prior experience in Consumer Banking Domain and agile delivery methods is an advantage.
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