Senior Associate| Data Engineer| Middle Office Technology

Business Function

Group Technology and Operations (T&O) enables and empowers the bank with an efficient, nimble and resilient infrastructure through a strategic focus on productivity, quality & control, technology, people capability and innovation. In Group T&O, we manage the majority of the Bank's operational processes and inspire to delight our business partners through our multiple banking delivery channels.

Roles & Responsibilities
• Create Scala/Spark jobs for data transformation and aggregation
• Produce unit tests for Spark transformations and helper methods
• Deep understanding of distributed systems (, replication, consistency, and consensus)
• 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
• The candidate must exhibit a good understanding of data structures, data manipulation, distributed processing, application development, and automation.
• Familiar with Oracle, Spark streaming, Kafka, ML.
• To develop an application by using Hadoop tech stack and delivered effectively, efficiently, on-time, in-specification and in a cost-effective manner.
• Ensure smooth production deployments as per plan and post-production deployment verification.
• This Hadoop Developer will play a hands-on role to develop quality applications within the desired timeframes and resolving team queries.

Requirements
• Hadoop data engineer with total 6.5-+ years of experience and should have strong experience in Hadoop, Apache Spark, Scala, Hive, Data Ingestion, Impala, CI/CD, Git, Jenkins, Agile Methodologies, DevOps, Cloudera Distribution.
• Strong Knowledge in data warehousing Methodology.
• Relevant 6 years of Hadoop & Spark 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