Associate, Data Engineer, Transformation and Data

Role overview

Associate, Data Engineer, Transformation and Data at DBS Tech India

Responsibilities

• Develop, enhance, and support data extraction, transformation, and validation processes using Sparkola, PySpark, and SQL.
• Ensure datasets are accurate, traceable, and fit for consumption by downstream analytics and reporting platforms such as QlikSense and Superset.
• Manage deliverables using JIRA, adhering to timelines, priorities, and change control processes.
• Ensure solutions comply with DBS risk, security, and data governance standards, including internal data controls.

Required skills

• for this rile (JD):
• Technical Competencies
• Strong hands‑on experience with:
• Sparkola
• PySpark
• SQL (complex queries, joins, performance tuning)
• Working knowledge of:
• CML (Cloudera Machine Learning)
• Sparkola Job Server
• QlikSense and/or Superset
• Strong proficiency in MS Excel for data validation, analysis, and reconciliation.
• Functional & Behavioral Competencies
• Experience working in agile delivery models with strong exposure to JIRA boards.
• Excellent communication and collaboration skills, with the ability to bridge business and technology discussions.
• Strong analytical thinking, attention to detail, and problem‑solving capability.
• Proactive, dependable team player with a learning mindset and resilience in a fast‑paced environment.
• Experience in banking or financial services, especially in regulated data environments.
• Exposure to data governance, audit, lineage, and controls.

Preferred qualifications and skills

• Preferred (Good to Have)

Employment details

• Hyderabad - DTI Skyview SEZ
• Job:
• Analytics
• Schedule:
• Regular
• Employee Status:
• Full time
• Location: Hyderabad - DTI Skyview SEZ [India]

Additional role details

• Business Function
• Consumer Banking Group 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 CBG, we manage the majority of the Bank's operational processes and inspire to delight our business partners through our multiple banking delivery channels
• Key Accountabilities
• Build and manage batch and ad‑hoc data pipelines through Sparkola Job Server, ensuring stability, performance, and timely delivery.
• Use Cloudera Machine Learning (CML) environments for development, testing, and execution of Spark workloads as per DBS standards.
• Business & Stakeholder Engagement
• Engage with business users and analysts to understand functional requirements and translate them into technical logic and data models.
• Support production issues and data clarifications as required.
• Delivery Governance & Controls