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, ON, CA, M5H 1A1
Actively hiring, first seen by us 1 day agoActively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
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$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 5 and day 54.
From 10,733 similar postings that came down. Coming down is not always a hire.
49 open jobs
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- Expertise knowledge of Hadoop HDFS, Hive, Pig, Flume and Sqoop. - Working Experience with Google Cloud Platform Databases (SQL, Spanner, PostgreSQL) - Experience working with relational/NoSQL databases
- Stakeholder analysis. - Expertise knowledge of Hadoop HDFS, Hive, Pig, Flume and Sqoop. - Working Experience with Google Cloud Platform Databases (SQL, Spanner, PostgreSQL)
- Experience working with relational/NoSQL databases - Experience with data streaming and technologies such as Kafka, Spark-streaming etc. What's in it for you?
- Working Experience with Google Cloud Platform Databases (SQL, Spanner, PostgreSQL) - Experience working with relational/NoSQL databases - Experience with data streaming and technologies such as Kafka, Spark-streaming etc.
Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture. The Wealth Data engineering team within the Global Wealth Engineering (GWE) is the key team in meeting the operational data needs of the various stake holders within Wealth Management. The Lead Data Analyst will play a key role in designing and implementing business solutions using Google cloud working closely with the enterprise data team and data architects, solution architects, data analyst and data engineers Is this role right for you? In this role you will:
Complete your application on jobs.scotiabank.com. The employer’s form will show what is required.
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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.
Requisition ID: 276507
Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.
The Wealth Data engineering team within the Global Wealth Engineering (GWE) is the key team in meeting the operational data needs of the various stake holders within Wealth Management. The Lead Data Analyst will play a key role in designing and implementing business solutions using Google cloud working closely with the enterprise data team and data architects, solution architects, data analyst and data engineers
Is this role right for you? In this role you will:
Do you have the skills that will enable you to succeed in this role? We’d love to work with you if you have:
What's in it for you?
Location(s): Canada : Ontario : Toronto
Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.
At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.
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Toronto, ON, CA, M5H 1A1
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