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Data Engineer

Equitable BankToronto
Temps plein

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 ...Voir plus

Data Analyst

President's Choice FinancialToronto, ON
Temps plein

Referred applicants should not apply directly to this role.All referred applicants must first be submitted through Workday by a current Loblaw Colleague.Lake Shore Boulevard West, Toronto, Ontario,...Voir plus

Data Analyst

ADF Medical Services Inc.Toronto, ON, CA
Temps plein +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 ...Voir plus

Data Analyst

COSMOToronto, ON, CA
Temps plein
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...Voir plus

Data Steward

Native Child and Family Services of TorontoToronto, Ontario, Canada
Temps plein
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...Voir plus

Data - Azure Data Engineer

E-SolutionsToronto, ON
Temps plein

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...Voir plus

Data Engineer / Senior Data Engineer

ManulifeToronto, Ontario
Temps plein

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...Voir plus

Data Modeler

Rodan Energy SolutionsToronto, CA
Temps plein

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...Voir plus

Data Engineer

Inizio Partners CorpToronto, ON, Canada
Télétravail
Temps plein
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Job Title: Consultant Data Engineer.We're looking for a Senior Data Engineer with strong data platform experience to help with support of existing AWS/dbt platform and that can help with standing u...Voir plus

Data Analyst

StripeToronto
Temps plein

Stripe is a financial infrastructure platform for businesses.Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their reve...Voir plus

AI and Data - Data Engineer

EYToronto, ON, CA, M5H 0B3
Temps plein

We are looking for a Data Engineer.Our AI & Data practice works collaboratively with our clients to enhance their ability to use and interpret data and develop their own enhanced information manage...Voir plus

 • Nouvelle offre

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

Zurich Insurance CompanyToronto, ON, CA
Temps plein

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...Voir plus

Data Engineer

Randstad CanadaEtobicoke, Ontario, CA
Temps plein +1
Quick Apply

We are seeking a highly skilled Data Engineer for a permanent role to lead the design and implementation of robust data pipelines and advanced analytics models.In this position, you will be the bac...Voir plus

Data Scientist

Canadian Tire Corporation, LimitedToronto, ON
Temps plein

Support the development of machine learning models for offer personalization, customer propensity, next-best-product, and related use cases.Explore, clean, and analyze large datasets to uncover ins...Voir plus

Data Engineer

The Toronto-Dominion Bank (Canada)Toronto, Ontario
Temps plein

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...Voir plus

Data Scientist

0000050007 Royal Bank of CanadaToronto, Ontario
Temps plein

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 ...Voir plus

Data Engineer

ScotiabankToronto, ON, CA
Temps plein

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...Voir plus

Data Annotator

MercorToronto, Ontario, Canada
Télétravail
Temps partiel
Quick Apply

Headquartered in San Francisco, our investors include.AI Data Annotator & Reviewer.Audit work produced by other annotators to ensure accuracy and consistency.Follow precise instructions and adapt q...Voir plus

Data Specialist

FuturetekToronto, Ontario, Canada
Temps plein

Data Specialist: You will be in a critical position driving data-driven decision-making, optimizing business performance, and shaping the strategic direction within the company!.Analyze economies a...Voir plus

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Data Engineer

Data Engineer

Equitable BankToronto
Il y a 3 jours
Type de contrat
  • Temps plein
Description de poste

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