Associate, Data Engineer, Transformation and Data
At a glance
Junior Data Engineering role at Dbs. Hyderabad · full-time.
Pay not stated Data Engineering salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and maintain data workflows for extraction, transformation and checks using Sparkola, PySpark and SQL
- Run scheduled and one-off pipelines through Sparkola Job Server, keeping delivery stable and timely
- Develop, test and execute Spark workloads in Cloudera Machine Learning environments under DBS standards
- Prepare reliable, traceable datasets for QlikSense, Superset and other downstream reporting or analytics
- Translate user needs into technical logic and data models, then handle production issues and data questions
What you bring
- You have hands-on experience with Sparkola, PySpark and SQL, including complex queries and performance tuning
- You can validate, analyze and reconcile data in Excel with strong proficiency
- You have worked in agile delivery using JIRA boards and can connect business discussions with technical decisions
- You bring analytical problem-solving, careful attention to detail and clear collaboration skills
Who this fits
This junior, full-time role suits someone who can build data pipelines and work directly with business users and analysts. You’ll work from Hyderabad, at the DTI Skyview SEZ location.
From the employer
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 time
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