DataBricks - Data Engineering
Chennai, Ind-33, IN, 600119
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingDesign, develop, test and maintain ETL/ELT pipelines on Azure Databricks
Build and manage Delta Lake lakehouse architectures
Integrate data from databases, cloud storage, APIs and streaming platforms
Optimize Spark workloads, clusters and queries for performance and cost
Implement data quality checks, monitoring and error handling
From the employer’s posting
Design, develop, test, and maintain scalable ETL/ELT pipelines using Azure Databricks, Apache Spark, PySpark, and SQL.
Build and manage lakehouse architectures using Delta Lake
Integrate data from relational databases, cloud storage, APIs, streaming platforms, and enterprise applications.
Optimize Spark workloads, cluster configurations, queries, and storage for performance and cost efficiency.
Implement data quality checks, monitoring, logging, error handling, and operational support processes.
What you’ll bring
All qualificationsCore experience
- 5-8 years of experience
- Hands-on experience with Azure Databricks, Apache Spark, PySpark and Spark SQL
- Proficiency in Python and advanced SQL, including query tuning
- Experience with Delta Lake, medallion architecture and large-scale data processing
Qualification wording
Experience: 5-8 Years
Strong hands-on experience with Azure Databricks, Apache Spark, PySpark, and Spark SQL.
Proficiency in Python and advanced SQL, including query tuning and data transformation.
Experience with Delta Lake, medallion architecture, and large-scale batch or streaming data processing.
Tools in this posting
- Python
- SQL
- Azure
- Databricks
- Delta Lake
- Spark
- PySpark
Source — Tool mentions in context
- Strong hands-on experience with Azure Databricks, Apache Spark, PySpark, and Spark SQL. - Proficiency in Python and advanced SQL, including query tuning and data transformation. - Experience with Delta Lake, medallion architecture, and large-scale batch or streaming data processing.
Key Responsibilities - Design, develop, test, and maintain scalable ETL/ELT pipelines using Azure Databricks, Apache Spark, PySpark, and SQL. - Build and manage lakehouse architectures using Delta Lake, including data ingestion, transformation, validation, and optimization.
Required Skills and Qualifications - Strong hands-on experience with Azure Databricks, Apache Spark, PySpark, and Spark SQL. - Proficiency in Python and advanced SQL, including query tuning and data transformation.
͏ Mandatory Skills: DataBricks - Data Engineering . Experience: 5-8 Years .
- Design, develop, test, and maintain scalable ETL/ELT pipelines using Azure Databricks, Apache Spark, PySpark, and SQL. - Build and manage lakehouse architectures using Delta Lake, including data ingestion, transformation, validation, and optimization. - Integrate data from relational databases, cloud storage, APIs, streaming platforms, and enterprise applications.
- Proficiency in Python and advanced SQL, including query tuning and data transformation. - Experience with Delta Lake, medallion architecture, and large-scale batch or streaming data processing. ͏
Posting record
Report an errorActively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 27, 2026 · 2 days ago
- Recorded sightings
- 3
- Last seen by us
- Oct 28, 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 careers.wipro.com. The employer’s form will show what is required.
Already applied? Track this application
Job description
Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.
Job Description
Role Purpose
The purpose of this role is to facilitate application solutions by developing and reviewing module-level codes, creating replication patterns, performing root cause analysis to identify recurring issues and collaborating with internal and external stakeholders to ensure stable, well-documented deliverables that meet business objectives.
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Key Responsibilities
- Design, develop, test, and maintain scalable ETL/ELT pipelines using Azure Databricks, Apache Spark, PySpark, and SQL.
- Build and manage lakehouse architectures using Delta Lake, including data ingestion, transformation, validation, and optimization.
- Integrate data from relational databases, cloud storage, APIs, streaming platforms, and enterprise applications.
- Develop reusable notebooks, frameworks, and utilities aligned with coding and engineering standards.
- Optimize Spark workloads, cluster configurations, queries, and storage for performance and cost efficiency.
- Implement data quality checks, monitoring, logging, error handling, and operational support processes.
- Apply security and governance controls, including Unity Catalog, access permissions, data lineage, and secrets management.
- Collaborate with architects and business teams to translate requirements into robust technical solutions.
- Support CI/CD, version control, automated testing, deployment, troubleshooting, and production releases.
- Create and maintain technical documentation, data mappings, runbooks, and solution design artifacts.
Required Skills and Qualifications
- Strong hands-on experience with Azure Databricks, Apache Spark, PySpark, and Spark SQL.
- Proficiency in Python and advanced SQL, including query tuning and data transformation.
- Experience with Delta Lake, medallion architecture, and large-scale batch or streaming data processing.
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Mandatory Skills: DataBricks - Data Engineering .
Experience: 5-8 Years .
Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.
Source details
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- Pay
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- Location & working pattern
Chennai, Ind-33, IN, 600119
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