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Senior Associate, Data Engineer

3.00 to 7.00 Years   Hyderabad   27 May, 2023
DBS Asia Hub 2
Job LocationHyderabad
EducationNot Mentioned
SalaryNot Disclosed
IndustryBanking / Financial Services
Functional AreaCustomer Care Executive
EmploymentTypeFull-time

Job Description

    *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 Banks operational processes and inspire to delight our business partners through our multiple banking delivery channels.Roles & Responsibilities
    • Create Spark jobs for data transformation and aggregation
    • Produce unit tests for Spark transformations and helper methods
    • Deep understanding of distributed systems (e.g. Partitioning, 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 developer with 6.5 9.5 years of experience and should have strong experience in Hadoop, Apache Spark 2.x, Hive, Apache Nifi, Java 8 & 11, Junit, Impala, CICD, Git, Jenkins, Agile Methodologies, DevOps, Cloudera Distribution.
    • Relevant 3.5 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
    ,

Keyskills :
misapache sparkqualitycore bankingcustomer relationssales

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