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.
Toronto, Can-ON, CA, M5X 1E3
Actively hiring, first seen by us 1 day agoExperience: 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.Read the 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
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.
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.
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.
Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$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.
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.
165 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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.
- 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
Complete your application on careers.wipro.com. The employer’s form will show what is required.
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New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
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.
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.
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.
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
Required Qualifications
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.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
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.
Toronto, Can-ON, CA, M5X 1E3
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.