Analyst, Data Analyst, Transformation and Data
Reads like a Data Engineer role: pipelines and data infrastructure.
Hyderabad - DTI Skyview SEZ
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employee Status: Full time
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingDevelop and support data extraction, transformation and validation processes
Ensure datasets are accurate, traceable and ready for QlikSense and Superset
Translate business requirements into technical logic and data models
Support production issues and data clarifications
From the employer’s posting
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.
translate them into technical logic and data models
Support production issues and data clarifications as required.
What you’ll bring
All qualificationsCore experience
- Strong proficiency in MS Excel for validation and reconciliation
- Experience in agile delivery models with JIRA boards
Qualification wording
Strong proficiency in MS Excel for data validation, analysis, and reconciliation.
Experience working in agile delivery models with strong exposure to JIRA boards.
Tools in this posting
- SQL
- Excel
- Superset
- PySpark
Source — Tool mentions in context
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.
- PySpark - SQL (complex queries, joins, performance tuning) - Working knowledge of:- CML (Cloudera Machine Learning)
- QlikSense and/or Superset - Strong proficiency in MS Excel for data validation, analysis, and reconciliation. Functional & Behavioral Competencies
- 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
- Sparkola Job Server - QlikSense and/or Superset - Strong proficiency in MS Excel for data validation, analysis, and reconciliation.
- Strong hands‑on experience with:- Sparkola - PySpark - SQL (complex queries, joins, performance tuning)
Posting record
Report an errorOpen 5 monthsWe first saw this posting 160 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- May 23, 2026 · 160 days ago
- Recorded sightings
- 220
- Last seen by us
- Oct 30, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on dbs.wd3.myworkdayjobs.com. The employer’s form will show what is required.
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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 SEZJob:
AnalyticsSchedule:
RegularEmployee Status:
Full timeSource details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Hyderabad - DTI Skyview SEZ
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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