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Data • old toronto on

Last updated: 2 days ago

Data Engineer

Equitable BankToronto
Full-time

Developing of Data Pipelines (50%).Design, develop, and maintain scalable Synapse pipelines for data ingestion, processing, and transformation in Azure data platform.Develop and optimize T-SQL and ...Show more

Data Analyst

ADF Medical Services Inc.Toronto, ON, CA
Full-time +1
Quick Apply

Here's your clean, copy-ready job posting: JOB OPENING — Remote Data Analyst ADF Medical Services Inc.We're looking for a sharp, analytical Remote Data Analyst to help us turn data into actionable ...Show more

Data Analyst

COSMOToronto, ON, CA
Full-time
Quick Apply

We are seeking a Data Analyst/Scientist to help drive data-informed decision making across product, customer experience, and operations.This role partners closely with cross-functional teams to bui...Show more

Data Steward

Native Child and Family Services of TorontoToronto, Ontario, Canada
Full-time
Quick Apply

Classification: Contract Full-Time .We are seeking a technically strong data professional with expertise in tools such as SQL, Microsoft Power BI, Azure Data Lake, and Microsoft Power Apps to suppo...Show more

Data Engineer

VeemToronto, ON, CA
Full-time
Quick Apply

Role: Data Engineer Location: Fully Remote (Canada, EST time zone) Compensation: Salary + Bonus + Health Benefits About Veem Veem is transforming global money movement.Traditional cross-border paym...Show more

Data - Azure Data Engineer

E-SolutionsToronto, ON
Full-time

Data Engineer who can develop, test, run, maintain, and migrate data pipelines.Essential skills include Azure Databricks, Azure Data Factory, GitHub Actions CI/CD, building APIs with Python FastAPI...Show more

Data Engineer / Senior Data Engineer

ManulifeToronto, Ontario
Full-time

Data Engineer / Senior Data Engineer.Manulife, you would play a critical role in the development and maintenance of the company's data systems and architecture.You would collaborate with other high...Show more

Data Modeler

Rodan Energy SolutionsToronto, CA
Full-time

We are currently requesting resumes for the following position.Thursday, August 21, (5:00PM EST).Temp – University Ave, Toronto, Base – CHQ on rotating schedule.Analyze and document existing data s...Show more

Data Developer

Royal Bank of Canada>TORONTO, Canada
Full-time

At RBC, our data engineering team enhances visibility into assets across the Public Cloud and Application Security landscape.Our mission is to provide clear insights into digital infrastructure, en...Show more

Data Scientist

0000050007 Royal Bank of CanadaTORONTO, Ontario, Canada
Full-time

RBC is a global leader in applying Artificial Intelligence (AI) in the banking sector in order to create value for our clients, with capabilities ranging from LLM-powered digital banking, boosting ...Show more

Data Steward

CI FinancialToronto, Ontario, CA
Full-time

At CI, we see a great place to work as one that is a safe place for everyone to have a voice, where people are empowered to take ownership over meaningful work, where there is an opportunity to gro...Show more

DATA ANALYST

E-SolutionsToronto, ON
Full-time

Duration: Contract Description • to years experience as Data BA.Good knowledge on Data Warehousing , Data Mart and Data Lake concepts.Hands on experience writing basic SQLs.Hands on experience on g...Show more

Data Consultant

Client ServerToronto, Ontario, Canada
Full-time

Data Consultant Toronto / WFH to C$ 130,000.Do you have data science and data analytics experience combined with excellent communication and client facing skills?.You could be progressing your care...Show more

Data Architect

Randstad CanadaEtobicoke, Ontario, CA
Full-time +1
Quick Apply

We are seeking a visionary Data Architect for a permanent leadership role based in Etobicoke.This position is central to designing and maintaining the enterprise data architecture that powers our a...Show more

Data Quality Analyst - Data Governance (AI-Ready Data)

Zurich Insurance CompanyToronto, ON, CA
Full-time

Are you looking for a caring, collaborative, values-driven workplace with inspiring teammates and leaders? Do you have the ambition and desire to be the best and thrive at the most impactful global...Show more

Data Architect

DUCA Financial Services Credit Union Ltd.Toronto, Ontario, Canada
Full-time

We’re a vibrant, exciting credit union that lives its "profits with a purpose" philosophy in every financial transaction, product, interest rate, and community initiative we offer.Founded in 1954, ...Show more

Data Engineer

The Toronto-Dominion Bank (Canada)Toronto, Ontario
Full-time

We are seeking a Senior Data Engineer with deep, hands-on experience in Databricks, Apache Spark, and Python to design, build, and operate scalable, secure, and analytics-ready data platforms on Mi...Show more

Data Analyst

MercorToronto, Ontario, Canada
Remote
Part-time
Quick Apply

Headquartered in San Francisco, our investors include.Ensure submissions have multiple tabs, real formulas, and populated data.Anonymize personal details while maintaining data integrity.Provide ti...Show more

Data Engineer

ScotiabankToronto, ON, CA
Full-time

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.We are seeking a dedicated and enthusiastic Junior Developer to support automation and innovati...Show more

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Data Engineer

Data Engineer

Equitable BankToronto
2 days ago
Job type
  • Full-time
Job description

Main Activities:

  • 1. Developing of Data Pipelines (50%)
· Design, develop, and maintain scalable Synapse pipelines for data ingestion, processing, and transformation in Azure data platform. · Develop and optimize T-SQL and Python-based data processing scripts and integrate them with Synapse pipelines for ETL tasks and data transformations. · Design and develop mapping dataflow solutions for complex data transformations. · Develop and maintain data storage solutions, ensuring efficient data retrieval and storage on Azure Data Lake and databases. · Implement and maintain API integrations, including REST APIs, for seamless data flow between systems. · Design and test the end-to-end process for data ingestion, data transformation, data cleansing, data delivery, data quality and data timeliness. · Implement and ensure data security and privacy measures, complying with industry standards and regulations. · Monitor and optimize the performance of Azure data services, Azure Synapse pipelines, Function Apps, and Logic Apps. · Improve the scalability, efficiency, and cost-effectiveness of data pipelines.
  • 2. Requirements gathering and Technical Documentation (10%)
· Participate in Joint Application Development sessions with business units to gather and understand their data and reporting requirements. · Create and maintain technical documentations for tools, development, and procedures.
  • 3. Data Strategy and Planning (10%)
· Provide inputs and assist in enablement of Cloud based data solutions. · Develop and recommend innovative approaches to solve business and technical problems. · Work and collaborate with the larger team to exchange knowledge, solutions, and practices to build a more consistent, robust approach to development.
  • 4. Support and Maintenance of Enterprise Data Warehouse and BAU Tasks (30%)
· Continuously improve performance and proactively identify and resolve bottlenecks that will reduce time to build and deliver our products. · Troubleshoot and resolve data-related issues in a timely manner for production and other environments (DEV,UAT,QA) · Perform business as usual tasks (BAU) that assigned

Skills/Knowledge Requirements:

  • Bachelor's degree or equivalent in the field of Computer Science or Engineering
  • 3+ years of Proven experience as a Data Engineer, specifically working with Microsoft Azure technologies.
  • Proficient in T-SQL, Pyspark, Mapping Dataflow and Python programming language
  • Hands-on experience with Azure data services, including Azure Data Factory, Azure Data Lake, Azure Function App, Azure Logic App, Azure SQL Database, Azure Synapse Analytics, mapping dataflow, and Event Hub.
  • Understanding of data warehousing concepts and best practices.
  • Experience with Data modeling.
  • Experience in working with structured, semi-structured and unstructured data.
  • Excellent written and verbal communication skills
  • Excellent multi-tasking and organizational skills