Wipro

Azure Data Engineer

Wipro • $100K — $150K *
Toronto, ON M3C 0E3In-Person
Information Technology
8 - 10 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 8-10 years of experience in data engineering roles.
  • Strong knowledge of enterprise reporting and analytics semantic models.
  • Expertise in dimensional modelling including star and snowflake schema designs.
  • Experience with Slowly Changing Dimensions (SCD) Type 1 and Type 2.
  • Proficient in Spark SQL, especially with complex joins and aggregations.
  • Familiarity with Azure Databricks and Delta Lake for pipeline building.
  • Strong communication skills for team collaboration.

Responsibilities

  • Develop and implement data models that meet business requirements.
  • Optimize Spark SQL queries for improved performance.
  • Build and manage ETL/ELT pipelines in Azure Databricks.
  • Utilize PySpark for data ingestion and transformation workflows.
  • Collaborate with cross-functional teams to address data needs and issues.
  • Monitor data architectures for compliance with enterprise standards.

Benefits

  • Flexible working hours to promote work-life balance.
  • Opportunities for professional development and training.
  • Access to the latest data engineering tools and technologies.
  • Supportive team environment focusing on innovation.
Full Job Description
Job Title: Azure Data Engineer

City: Toronto

State/Province: Ontario

Posting Start Date: 7/27/26

Job Description:

Job Description

  1. 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.
  1. 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.
  1. 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.
  1. Data Engineering Skills
    • Experience building ETL/ELT pipelines using Azure Databricks and load to Synapse.
    • Familiarity with Delta Lake, data versioning, and ACID transactions.
  1. Independence & Collaboration
    • Ability to work independently with minimal oversight.
    • Strong communication skills to collaborate with cross-functional teams and business stakeholders.
    • Proactive in identifying issues and proposing data-driven solutions.


Mandatory Skills: DataBricks - Data Engineering.

Experience: 8-10 Years.

The expected compensation for this role ranges from CAD 100000 to CAD 150000 .

About Wipro

Wipro Limited is an Indian multinational corporation that provides information technology, consulting and business process services. The company was founded in 1945 and is headquartered in Bengaluru, India. Wipro has operations in over 50 countries and employs over 191,000 people. The company's primary business is in the information technology sector, and it provides services such as application development and maintenance, digital strategy consulting, and data analytics.
Learn more about Wipro
Size
240,000 employees
Market Cap
$25.9 billion
Industry
Information Technology
Net Income
$101.4 billion
Founded
1945
5 Year Trend
+7.5%
Revenue
$614 billion
NASDAQ
WIT
* Ladders Estimates

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