Azure Data Engineer
Wipro
- Location
- Toronto, CAN-ON, CAN, M5X 1E3<br/>
- Work model
- On-Site
- Level
- Mid
- H-1B history
- 906 approvals (FY2023)
- Posted
- 13d ago
Skills
About this role
Job Description
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Job Title
Azure Data Engineer
City
Toronto
State/Province
Ontario
Posting Start Date
7/27/26
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
Data Modelling & Architecture
Strong understanding of semantic models used in enterprise reporting and analytics. Expertise in dimensional modelling, including star and snowflake schema design. Practical experience implementing Slowly Changing Dimensions (SCD) Type 1 and Type 2. Ability to translate business requirements into scalable data models.
Advanced Spark SQL
Proficiency in Spark SQL, including complex joins, aggregations, and transformations. Strong command over window functions, ranking functions, and analytical queries. Ability to troubleshoot performance issues and optimize Spark SQL queries.
PySpark Development
Working knowledge of PySpark for data ingestion, transformation, and workflow orchestration. Ability to write and understand basic pyspark functions Basic understanding of Spark architecture, including executors, partitions, and caching.
Data Engineering Skills
Experience building ETL/ELT pipelines using Azure Databricks and load to Synapse. Familiarity with Delta Lake, data versioning, and ACID transactions.
Independence & Collaboration
Ability to work independently with minimal oversight.