Hyderabad - DTI Skyview SEZ
Open 5 months, first seen by us 170 days agoEmployee Status: Full time
Employment type in the employer’s posting: Full timeFrom the employer’s posting
Develop and support data extraction, transformation and validation processes
Ensure datasets are accurate, traceable and fit for QlikSense and Superset reporting
Translate business requirements into technical logic and data models
Support production issues and data clarifications
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.
Open 5 monthsWe first saw this posting 170 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 170
Up longer than most. Similar jobs usually come down between day 5 and day 54.
Well past DBS Group’s usual: its jobs come down by about day 29.
From 12,127 similar postings that came down, and 135 of DBS Group’s. Coming down is not always a hire.
28 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
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)
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New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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
Business & Stakeholder Engagement
Delivery Governance & Controls
Required Skills for this rile (JD):
Technical Competencies
Functional & Behavioral Competencies
Preferred (Good to Have)
Location:
Hyderabad - DTI Skyview SEZJob:
AnalyticsSchedule:
RegularEmployee Status:
Full timeSelected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
Hyderabad - DTI Skyview SEZ
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.