Associate, Data Engineer, Middle Office Technology

4 weeks ago


hyderabad, India DBS Bank Full time

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 most the Bank's operational processes and inspire to delight our business partners through our multiple banking delivery channels.

Roles & Responsibilities

Create Scala/Spark/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 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 3 - 6 years of experience and should have strong experience in Hadoop, Spark, Scala, Pyspark, Hive, Impala, CI/CD, Git, Jenkins, Agile Methodologies, DevOps, Cloudera Distribution. Strong Knowledge in data warehousing Methodology. 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

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