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 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 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
Primary Location: India-Telangana-Hyderabad - DAH2 Skyview SEZ
Job: Analytics
Schedule: Regular
Employee Status:
Full-time
:
Job Posting: Jun 1, 2026, 2:54:55 AM
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 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
Primary Location: India-Telangana-Hyderabad - DAH2 Skyview SEZ
Job: Analytics
Schedule: Regular
Employee Status:
Full-time
:
Job Posting: Jun 1, 2026, 2:54:55 AM
💡 Quick Summary
Seeking a career-building opportunity? The Senior Associate| Data Engineer| Middle Office Technology position is now open for candidates interested in the Bank Jobs sector. This role in Hyderabad offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Bank Jobs is a plus.
