Bangalore, Karnataka, India
Information Technology
DBS Bank
Overview
{"@context":"https://schema.org/","@type":"JobPosting","title":"Associate, Data Engineer, Middle Office Technology","datePosted":"2025-02-18T00:00:00","employmentType":["FULL_TIME"],"validThrough":"2025-06-18","hiringOrganization":{"@type":"Organization","name":"DBS Bank","logo":"https://media.glassdoor.com/sql/611812/dbs-bank-squarelogo.png","sameAs":"https://www.glassdoor.co.in/Overview/Working-at-DBS-Bank-EI_IE611812.11,19.htm"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hyderābād","addressRegion":"Telangana","addressCountry":{"@type":"Country","name":"India"}},"geo":{"@type":"GeoCoordinates","latitude":17.41141,"longitude":78.48478}},"description":"Business FunctionGroup 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 channelsRoles & Responsibilities•; Create Scala/Spark/Pyspark/Java 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 offPrepare 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, Java,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 queriesRequirements•; Hadoop data engineer with total 3 - 6 years of experience and should have strong experience in Hadoop, Spark, Scala, Java, 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","salaryCurrency":"INR","estimatedSalary":{"@type":"MonetaryAmount","currency":"INR","value":{"@type":"QuantitativeValue","minValue":834000,"maxValue":949000,"unitText":"YEAR"}},"educationRequirements":{"@type":"EducationalOccupationalCredential","credentialCategory":""},"experienceRequirements":{"@type":"OccupationalExperienceRequirements","monthsOfExperience":"0","description":"CI/CD, Oracle, DevOps, Data structures, Spark, Git, Apache Hive, Java, SQL, AWS, Scala, Continuous integration, APIs, Agile, Kafka, Jenkins, Banking, Data warehouse, Hadoop"},"experienceInPlaceOfEducation":false,"industry":"Finance","jobBenefits":"Maternity & Paternity Leave, Sick Leave, Vacation & Paid Time Off","directApply":false}]]>
Similar Jobs
View All
Talk to us
Feel free to call, email, or hit us up on our social media accounts.
Email
info@antaltechjobs.in