Analyst, Data Analyst, Transformation and Data

China, Beijing Branch; Hyderabad; On-site; INR 900,000 - 1,300,000; Full time

Job summary

DBS Hyderabad analytics team is seeking a data engineer who can develop, enhance, and support data extraction, transformation, and validation pipelines using Sparkola, PySpark, and SQL. You will work closely with business analysts to translate requirements into robust data models.

You will build batch and ad-hoc pipelines, validate datasets for accuracy and traceability, and ensure compatibility with QlikSense or Superset dashboards.

Qualifications

• Strong hands-on experience with Sparkola and PySpark.
• SQL proficiency with complex queries and performance tuning.
• Working knowledge of Cloudera Machine Learning (CML).
• Familiarity with Sparkola Job Server.
• Experience with QlikSense and/or Superset.
• Proficiency in MS Excel for data validation and reconciliation.

Responsibilities

• Develop, enhance, and support data extraction, transformation, and validation processes.
• Build and manage batch and ad-hoc data pipelines with Sparkola Job Server.
• Use CML environments for Spark workloads per DBS standards.
• Ensure datasets are accurate, traceable, and ready for downstream analytics and reporting.
• Manage deliverables using JIRA and uphold data governance standards.

Skills

PySpark

SQL (complex queries, joins, perf)

MS Excel

Sparkola

Tools

Sparkola Job Server

QlikSense

Superset

Cloudera Machine Learning (CML)

Job description

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

• Develop, enhance, and support data extraction, transformation, and validation processes using Sparkola, PySpark, and SQL.
• 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.
• Ensure datasets are accurate, traceable, and fit for consumption by downstream analytics and reporting platforms such as QlikSense and Superset.

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

• 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.

Preferred (Good to Have)

• Experience in banking or financial services, especially in regulated data environments.
• Exposure to data governance, audit, lineage, and controls.

Location: Hyderabad - DTI Skyview SEZ

Job: Analytics

Schedule: Regular

Employee Status: Full time