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- Employment type
- Full-time
- Experience level
- Mid-level · 2+ years
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Not Applicable
Job summary
Develop and orchestrate ETL/ELT pipelines, integrate data from databases and enterprise applications, and optimize Azure Databricks, PySpark, and Delta Lake workloads. Support production systems, investigate root causes, contribute to platform modernization and governance, and mentor junior engineers.
Job details
Job Description Job Description Key Skills & Responsibilities Azure Databricks, PySpark, SQL Azure Data Factory (ADF) ETL/ELT pipeline development and orchestration Data ingestion and integration from SQL Server, Azure SQL Database, and enterprise applications Medallion Architecture (Bronze, Silver, Gold) Delta Lake optimization and Spark performance tuning CI/CD using GitHub Actions and Azure DevOps Data quality, governance, security, and compliance Production support and root cause analysis Architecture modernization and mentoring of junior engineers Preferred Experience Strong hands-on experience with Azure Databricks and PySpark Experience designing scalable enterprise data platforms Exposure to cloud-based data modernization initiatives Strong stakeholder communication and collaboration skills Mandatory Skills: Data Engineering Full Stack Experience: 3-5 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. Wipro is committed to creating an accessible, supportive, and inclusive workplace. Reasonable accommodation will be provided to all applicants including persons with disabilities, throughout the recruitment and selection process. Accommodations must be communicated in advance of the application, where possible, and will be reviewed on an individual basis. Wipro provides equal opportunities to all and values diversity.
What you’ll do
Develop and orchestrate ETL/ELT pipelines, integrate data from databases and enterprise applications, and optimize Azure Databricks, PySpark, and Delta Lake workloads. Support production systems, investigate root causes, contribute to platform modernization and governance, and mentor junior engineers.
Requirements
The role requires 3–5 years of data engineering full-stack experience, with strong hands-on experience in Azure Databricks and PySpark. Preferred experience includes designing scalable enterprise data platforms, participating in cloud modernization initiatives, and communicating effectively with stakeholders.
Listed skills
- SQL · Preferred
- Root Cause Analysis · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Azure Databricks
- PySpark
- SQL
- Azure Data Factory
- ETL/ELT Pipeline Development
- Data Ingestion and Integration
- Medallion Architecture
- Delta Lake
- Spark Performance Tuning
- GitHub Actions
- Azure DevOps
- Data Quality
- Data Governance
- Data Security and Compliance
- Root Cause Analysis
- Stakeholder Communication
Job areas
- Data & Analytics
- Technology
- Software
- Engineering