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Senior/Lead Azure Cloud Data Engineer

Pay
CAD 60–70/hour — pay source
Experience: 8-10 Years . The expected compensation for this role ranges from CAD 60/hr to CAD 70/hr . 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.
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Work setting
Not stated
Employment
Not stated

What you’ll work on

Full posting
  • Develop batch and near real-time data integration workflows

  • Implement data quality, validation, reconciliation and monitoring frameworks

  • Schedule, monitor and troubleshoot jobs using Autosys and cloud orchestration tools

From the employer’s posting
Develop and maintain batch and near real-time data integration workflows.
Implement data quality, validation, reconciliation, and monitoring frameworks.
Schedule, monitor, and troubleshoot jobs using Autosys and cloud-native orchestration tools.

What you’ll bring

All qualifications

Core experience

  • 10+ years in data engineering and data warehousing
  • 5+ years with Azure data platform technologies
  • Hands-on skills in ADF, Azure Databricks, ADLS, MySQL, PySpark, SQL and Autosys
  • Experience designing ETL/ELT frameworks
  • Proficiency in Python and SQL programming
Qualification wording
10+ years of experience in Data Engineering and Data Warehousing.
5+ years of experience with Azure Data Platform technologies.
Strong hands-on experience with:
Experience designing and implementing ETL/ELT frameworks.
Proficiency in Python and SQL programming.
Education & alternatives
Required Qualifications - Bachelor’s or master’s degree in computer science, Information Technology, Engineering, or related field. - 10+ years of experience in Data Engineering and Data Warehousing.
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Posting record

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Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 4, 20261 day ago
Recorded sightings
2
Last seen by us
Nov 5, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$127K–$190K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 2,133 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 1

Early. Similar jobs usually come down between day 6 and day 54.

From 11,172 similar postings that came down. Coming down is not always a hire.

Wipro is hiring

165 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • 2% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • Azure
  • Databricks
  • MySQL
  • Spark
  • PySpark
Where the posting names them
- Experience working with large-scale structured and semi-structured datasets. - Proficiency in Python and SQL programming. - Experience with source control tools such as Git/Azure DevOps.
- PySpark - SQL - Autosys
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 We are seeking a highly skilled Senior/Lead Azure Cloud Data Engineer to design, develop, and optimize large-scale cloud-based data solutions on Microsoft Azure. The ideal candidate will have strong expertise in Azure Data Factory (ADF), Azure Databricks, PySpark, and Autosys, with hands-on experience building scalable data pipelines, data transformation frameworks, and enterprise-grade data platforms. The candidate will collaborate with business stakeholders, architects, and development teams to deliver high-performance data solutions that support analytics, reporting, regulatory, and operational requirements.
Key Responsibilities - Design, develop, and maintain scalable data ingestion and transformation pipelines using Azure Data Factory (ADF). - Build and optimize data processing solutions using Azure Databricks and PySpark.
- Design, develop, and maintain scalable data ingestion and transformation pipelines using Azure Data Factory (ADF). - Build and optimize data processing solutions using Azure Databricks and PySpark. - Develop and maintain batch and near real-time data integration workflows.
- Schedule, monitor, and troubleshoot jobs using Autosys and cloud-native orchestration tools. - Design and implement robust ETL/ELT solutions leveraging Azure cloud services. - Optimize Spark jobs for performance, scalability, and cost efficiency.
- 10+ years of experience in Data Engineering and Data Warehousing. - 5+ years of experience with Azure Data Platform technologies. - Strong hands-on experience with:
- Strong hands-on experience with: - Azure Data Factory (ADF) - Azure Databricks
- Azure Data Factory (ADF) - Azure Databricks - ADLS
- Proficiency in Python and SQL programming. - Experience with source control tools such as Git/Azure DevOps. Mandatory Skills: DataBricks - Data Engineering .
- Experience with source control tools such as Git/Azure DevOps. Mandatory Skills: DataBricks - Data Engineering . Experience: 8-10 Years .
- ADLS - MYSQL - PySpark
- Design and implement robust ETL/ELT solutions leveraging Azure cloud services. - Optimize Spark jobs for performance, scalability, and cost efficiency. - Collaborate with Data Architects and Solution Architects to define enterprise data models and standards.
- MYSQL - PySpark - SQL

Your next step

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About Wipro

People
About 11,079 in 2024.Benefit plan filings (Form 5500)
Company
Listed as WIT.
H-1B visas
580 approved for new hires in fiscal 2025.US Citizenship and Immigration Services

Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 839, the most 1,314, and the latest week had 1,086.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

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

We are seeking a highly skilled Senior/Lead Azure Cloud Data Engineer to design, develop, and optimize large-scale cloud-based data solutions on Microsoft Azure. The ideal candidate will have strong expertise in Azure Data Factory (ADF), Azure Databricks, PySpark, and Autosys, with hands-on experience building scalable data pipelines, data transformation frameworks, and enterprise-grade data platforms.

The candidate will collaborate with business stakeholders, architects, and development teams to deliver high-performance data solutions that support analytics, reporting, regulatory, and operational requirements.

Key Responsibilities

  • Design, develop, and maintain scalable data ingestion and transformation pipelines using Azure Data Factory (ADF).
  • Build and optimize data processing solutions using Azure Databricks and PySpark.
  • Develop and maintain batch and near real-time data integration workflows.
  • Implement data quality, validation, reconciliation, and monitoring frameworks.
  • Schedule, monitor, and troubleshoot jobs using Autosys and cloud-native orchestration tools.
  • Design and implement robust ETL/ELT solutions leveraging Azure cloud services.
  • Optimize Spark jobs for performance, scalability, and cost efficiency.
  • Collaborate with Data Architects and Solution Architects to define enterprise data models and standards.
  • Support production deployments, incident management, and performance tuning activities.
  • Ensure adherence to security, governance, and compliance standards.
  • Mentor junior engineers and provide technical leadership for project delivery.
  • Participate in code reviews, architecture discussions, and best practice implementation.

Required Qualifications

  • Bachelor’s or master’s degree in computer science, Information Technology, Engineering, or related field.
  • 10+ years of experience in Data Engineering and Data Warehousing.
  • 5+ years of experience with Azure Data Platform technologies.
  • Strong hands-on experience with:
    • Azure Data Factory (ADF)
    • Azure Databricks
    • ADLS
    • MYSQL
    • PySpark
    • SQL
    • Autosys
  • Experience designing and implementing ETL/ELT frameworks.
  • Strong understanding of distributed computing and Spark architecture.
  • Experience working with large-scale structured and semi-structured datasets.
  • Proficiency in Python and SQL programming.
  • Experience with source control tools such as Git/Azure DevOps.

 

Mandatory Skills: DataBricks - Data Engineering .

 

Experience: 8-10 Years .

 

The expected compensation for this role ranges from CAD 60/hr to CAD 70/hr .

 

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.

 

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Pay
Experience: 8-10 Years . The expected compensation for this role ranges from CAD 60/hr to CAD 70/hr . 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.
Location & working pattern

Toronto, Can-ON, CA, M5X 1E3

Working pattern and location restrictions need checking in the full posting.

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