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Component engineer Jobs in Etobicoke, ON

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Component engineer • etobicoke on

Last updated: 15 hours 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

Process Engineer

Aviso WealthToronto, ON, CA
Full-time
Quick Apply

At Aviso, we are dedicated to improving the financial well-being of Canadians.As a leading wealth management organization, we are committed to leadership, innovation, partnership, responsibility, a...Show more

Manufacturing Engineer

MillerKnollToronto,ON
Full-time

Knoll uses modern design to connect people to their work, their lives, their world.Since 1938, we have been recognized internationally for creating workplace and residential furnishings that inspir...Show more

AI Engineer

Fulfillment IQToronto, ON, CA
Full-time
Quick Apply

Fulfillment IQ is a supply chain engineering and transformation company that helps brands, retailers, and 3PLs design, build, and scale high-performance logistics operations.We work at the intersec...Show more

Data Engineer

Inizio Partners CorpToronto, ON, Canada
Remote
Full-time
Quick Apply

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...Show more

Reliability Engineer

AlstomToronto, ON, CA
Full-time

We create smart innovations to meet the mobility challenges of today and tomorrow.We design and manufacture a complete range of transportation systems, from high-speed trains to electric buses and ...Show more

AI Engineer

MarkiTechToronto, Ontario, Canada
Full-time
Quick Apply

Our company is AI and Data is at the forefront of AI innovation, delivering transformative solutions that enable automation, optimization, and efficiency for leading organizations.Our Data Science ...Show more

Ansible Engineer

OpticcaToronto, ON, USA
Full-time

Opticca Consulting is seeking a Senior Ansible Automation Engineer involving the deployment and migration to Red Hat Ansible Automation Platform (AAP) on Microsoft Azure.The consultant will play a ...Show more

Engineer

Toronto HydroToronto, ON, CA
Full-time

Target Variable Performance Pa.The salary range shown above reflects the expected compensation for this position.The final salary offered will be determined based on a holistic assessment of the ca...Show more

Applications Engineer

Active DynamicsToronto, ON, CA
Full-time
Quick Apply

Active Dynamics is a progressive OEM supplier that designs, tests, and manufactures unique solutions for multiple systems and multiple industries.This full-service, end-to-end capabilities are pair...Show more

AI Engineer

0000050176 RBC Capital Markets, LLCTORONTO, Ontario, Canada
Full-time

RBC Capital Markets is seeking an AI Engineer with deep expertise in Generative AI, neural networks, and transfer learning to support Sales teams with cutting-edge AI-powered solutions.You will lea...Show more

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Integration Engineer

ScotiabankToronto, ON, CA
Full-time

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.Results-driven Integrations Engineer with strong experience in designing, developing, and optim...Show more

Cloud Engineer

TSX Inc.Adelaide St W,Toronto
Full-time

Venture outside the ordinary - TMX Careers.The TMX group of companies includes leading global exchanges such as the Toronto Stock Exchange, Montreal Exchange, and numerous innovative organizations ...Show more

Service Engineer

Mitsubishi Electric Automation, Inc. (MEAU)Toronto, ON, CA
Full-time

Under supervision, provide technical service and support to the Machine Tool Builders (MTB’s), dealers, and end-users through telephone, on-line and on-site service.Position Duties and Responsibili...Show more

ML Engineer / Research Engineer (Contractor)

ManevaToronto, ON, CA
Remote
Full-time
Quick Apply

Maneva is pioneering the development of AI systems for manufacturing operations, leveraging vision and production data to reduce downtime, enhance quality, and improve worker safety through actiona...Show more

Principal Engineer

hdrToronto, Ontario, Canada
Full-time +1

At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and n...Show more

Project Engineer

TULLOCHToronto, ON, CA
Full-time
Quick Apply

Come Join Us! “We want to build an organization where everyone loves their job and their leaders care for them.Over the last 30 years, TULLOCH has built a robust multi-disciplinary consulting engin...Show more

Flutter Engineer

CMiCToronto, ON, CA
Full-time
Quick Apply

We believe that working with Flutter is pure joy for any person that appreciates the intricacies of architecture and engineering.The principle of widget composition is genius.It not only gives a fr...Show more

Software Engineer

MercorToronto, Ontario, Canada
Remote
Part-time
Quick Apply

Headquartered in San Francisco, our investors include.Configure development environments to support open-source projects in.Resolve dependency issues across various codebases to ensure seamless int...Show more

People also ask
Data Engineer

Data Engineer

Equitable BankToronto
1 day 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