Technologist Data Engineer Jobs

I have experience in role delivering and supporting software and data engineering capabilities.

Extends DevOps capabilities for deploying data solutions

I have strong SQL development and analytical skills

I have automated code testing experience

I have experience with cloud services within Azure- AWS- or GCP platforms

I have experience building APIs (experience with GraphQL is a plus)

Data engineering experience; expert level experience with SQL

• Experience with the cloud (AWS, Azure and/or Google Cloud Platform)

• Experience in cloud-based data warehouses (Snowflake, Google BigQuery, Amazon Redshift, Azure Synapse Analytics)

• Experience with cloud-based ETL/ELT tools (Matillion, Glue, Data Factory) and data modelling

• Experience with version control systems (Git, SVN)

Role : Data Engineer – Oracle+DataStage

Advanced knowledge and skills in SQL, SSIS, and SSMS. Minimum 5 Years of Hands-on Experience in SSIS and SSMS

Strong verbal and written communications skills with experience in relating complex concepts to non-technical users.

Bachelor’s degree in Computer Science or similar field or equivalent work experience.

5+ years of experience with hybrid data environments that leverage both distributed and relational database technologies to support analytics services.

Hands-on experience with the development of ELT/ETL processes in traditional and distributed environments

Experience as designer of complex Dimensional data models for analytics services.

Strong knowledge and understanding of the Canadian Cannabis Industry, including regulatory requirements, market dynamics, and key performance indicators.

Work closely with the team to identify opportunities for process improvement, automation, and enhancement of data analysis capabilities.

2 – 5 years experience in big data modeling and analytics

Proven experience as a Data Analyst or similar role, with a focus on Excel and Power BI dashboard development and maintenance.

Experience working with large datasets and applying data cleansing, transformation, and validation techniques.

Strong analytical and problem-solving skills, with the ability to extract insights from complex data sets.

Bachelor’s degree in computer science, OR an equivalent combination of education and/or experience

Minimum 1 day a week at the Montreal Office (Mondays) – subject to change at manager’s discretion

Strong analytical and organisational skills, with a passion for problem solving and uncovering and reconciling details.

Strong knowledge of data integration concepts

Experience in any of the following areas is a plus:

Knowledge of Big data ingestion

Knowledge and experience with databases, SQL or PostgreSQL

In-depth understanding of database management systems and ETL (Extract, Transform, Load)

BSc/BA in Computer Science, Engineering, or relevant field and or relevant knowledge with experience

Excellent organizational, strong written and verbal communication skills

2+ years experience as a Data Engineer

2+ years experience with Python

Assists management in developing RFP, RFQ, and handling departmental purchasing process.

Successful completion of a University Degree in Computer Science, Computer Engineering, Information Technology, or approved equivalent combination of education and experience.

Demonstrated knowledge and experience of software solutions development lifecycles/methodologies i.e. agile or other rapid application development methods.

Translates complex functional and technical requirements into detailed architecture, designs logical data models, physical databases, and high performing software solutions.

Minimum five (5) years demonstrated experience as a technology solutions architect/developer/ specialist or similar position/capacity.

Demonstrated experience in writing complex, highly-optimized SQL queries across large datasets. 

Experience with data pipeline and workflow management tools such as Airflow

2+ years of experience as a Data Engineer

Experience with cloud platforms: GCP, Amazon or Azure (GCP gives you an edge!)

Experience with Python and software engineering best practices

Knowledge in Dataflow, Spark and Kafka, as well as other data pipeline components

Experience with Github and CICD processes

Experience with the following tools/languages for data management and manipulation: Informatica, MapReduce, Rest APIs, Attunity Qlik-Replicate, Scala

Bachelors Degree in Computer Science, Information Systems, or Computer Engineering and related AWS/Azure certifications.

Strong communication and interpersonal skills, proven ability to work with both technical & non-technical stakeholders

Experience leading data projects from problem identification to production.

Experience supporting ML and AI experiments, business intelligence, data science models and reporting.

Experience with Salesforce, Guidewire and insurance industry preferred

• Bachelor’s or Master’s Degree in Business Intelligence, Machine Learning, Business Management,

• Experience in Power BI

• Have 5+ years of experience in data engineering or data infrastructure roles

• Experience in Rest API

• Possess expert Python skills (PySpark, Pandas, Scikit Learn, Numpy, Boto3, Glue + Spark Context)

• Experience with data pipeline technologies, data modelling (Star schemas, Snowflake, and

Demonstrable skills in database management

Enterprise Asset Management software experience

Manage outputs and quality throughout delivery of a project ensuring all work packages align to the project scope.

Ensure the services and software delivered fully meets client expectations and delivers value in terms of realisation of business benefits.

Experience in Analysing and organising raw data.

Experience of delivery of client facing projects, ideally in a consultancy environment

Strong project management and organizational skills.

Utilize SQL and Python expertise for efficient data processing and pipeline management

Design efficient data models, diagrams, and schema designs to effectively manage vast machine data

Build and maintain scalable data pipelines and API integrations to manage data complexity and volume effectively

Ensure our systems comply with business requirements and industry standards for data quality, security, and privacy

Design and manage ETL pipelines

Must be comfortable working from home

5 years of data engineering experience

Working knowledge of data visualization tools such as Power BI.

Strong analytical and problem-solving skills.

Assembling large, complex sets of data that meet non-functional and functional business requirements

Must currently hold a Government of Canada Reliability Security Clearance

3 to 5 years of related work experience in related technical environment.

Experience in database designing and modeling.

Experience writing complex queries/stored Procedures.

Experience initializing and managing Data Pipelines on cloud platforms: AWS, Azure, etc

Experience with ETL tools such as DataBricks, Azure Data Factory, Syncsort, SSIS or similar preferred.

Good organizational and problem-solving abilities that enable you to lead through creative abrasion.

Nice to have skills ,Azure Data Factory,Databricks

Duration : North York, ON

• Propose technology improvements or come up with innovative solutions to solve business problems

• Collaborate with Architecture, security and risk teams and implement latest guidelines and data models

• Automate infrastructure provisioning and deployment using tools such as terraform

• Implement CI/CD pipelines that enables automated code deployment

Ensure reports and databases meet defined IT standards and performance requirements.

Experience in the Microsoft Azure ecosystem (CosmosDB, Azure Synapse, Azure Data Lake). Azure Functions an asset.

Highly proficient SQL Query writing with experience tuning for performance.

Experience with various source control systems, GitHub, Bitbucket, Azure DevOps, TFS etc.

MuleSoft API development experience is an asset

Excellent oral and written communication skills.

• Develop Data Processes in support of our Integrated Asset Management and Reliability Centered Maintenance strategies

• Support FR&I engineering with processes, procedures and tools to utilize data management technologies

• An alternate combination of education and experience may be considered

• Minimum 4 (four)+ years of related experience

• Knowledge of pipeline facilities

• Demonstrated experience producing high-quality, error and omission-free deliverables within tight deadlines

Strong interpersonal skills required for requirement gathering

Extensive knowledge in the design and development of data pipelines (both streaming and ETL)

Knowledge of best practices in data warehousing required

Working knowledge of at least one industry standard tool for each of the following is required:

Experience designing and running testing scenarios required

Devops/sysops experience with Spark and Hadoop on clusters an asset

Provide engineering drawing control using product lifecycle management software (Teamcenter)

Support, cooperate with, and participate in company-wide EHS Management System which includes following all safety, health and environmental policies and procedures.

May contact suppliers and other departments with respect to the coordination of design work and clarification of requirements.

May work from more detailed design requirements laid down by others in the form of notes, layouts and verbal instruction.

Ideally one to two years of experience in designing and manufacturing techniques

SAP and Teamcenter experience is an asset

Must Have skills – Spark, Scala, AWS, Kafka

Role: Data Engineer (Support Role)

Good To have – Databricks

2. Maintain & support multiple data pipelines, includes error / bug fixes, platform upgrades & enhancements

3. Establish best engineering practices and operation excellence