Data Engineer (Airflow, Argo, dbt, Nifi; ETL/ELT pipelines, data quality, ERP SAP)
Ottawa 1 Chrysalis
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Thales
From Aerospace, Space, Defence to Security & Transportation, Thales helps its customers to create a safer world by giving them the tools they need to perform critical tasksOttawa, Ontario, Hybrid
Position Summary
Thales is looking for a Data Engineer who will be involved in the data engineering activities in support of projects that contribute to naval platforms in-service support programs.
As part of the Innovation Team, as the successful candidate, you will help deliver value to the operational team quickly in an agile and incremental way.
More specifically, you will work with business analysts and operational stakeholders to identify problems and build data foundation solutions that can be put in production. The type of functions could range from defining and implementing formal data practices, designing data architecture, implementing automated data pipelines, deploying machine learning models, implementing software that helps with decision making – while using modern development techniques and technologies.
Key Areas of Responsibility
Contribute to the definition of a data platform architecture that is suitable for the business needs of the program
Support data initiatives such as Technical Data Package management, data migration and Condition-Based Maintenance (CBM) of complex assets
Contribute to the deployment and maintenance of tools part of the TCDS data platform
Develop ETL/ELT pipelines
Develop data mappings and lineage
Develop data quality rules
Develop data orchestration workflows infrastructure
Deploy and monitor AI/ML models in production
Minimum Qualifications
Undergraduate degree in software engineering, computer science or related field.
7 years of experience with data engineering toolsets such as AirFlow, Argo, dbt, Nifi
7 years of experience with data architecture, data modeling techniques and languages
7 years of experience in data quality benchmarking and analysis
Experience with scripting technologies such as Python, R
Knowledge of agile software engineering methodologies
Ability to work on well-defined projects with minimal supervision
Proven problem solving and analytic skills with a desire to learn
Capable of developing strong relationships across the business through excellent customer service and business acumen
If you’re excited about working with Thales, but not meeting the requirements for this position, we encourage you to join our Talent Community!
Special Position Requirements
Occasional travel within Canada
What We Offer
Thales provides an extensive benefits program for all full-time employees working 24 or more hours per week and their eligible dependents, including the following:
•Company paid Extended Health, Dental, HSA, Life, AD&D, Short-term Disability, Cancer Care Program, travel insurance, Employee Assistance Plan and Well-Being program.
• Retirement Savings Plans (RRSP, DCPP, TFSA) with a company contribution and a match to a DCPP, with no vesting period.
•Company paid holidays, vacation days, and paid sick leave.
•Voluntary Life, AD&D, Critical Illness, Long-Term Disability.
•Employee Discounts on home, auto, and gym membership.
Why Join Us?
Say HI and learn more about working at Thales click here.
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Thales is an equal opportunity employer which values diversity and inclusivity in the workplace. Thales is committed to providing accommodations in all parts of the interview process. Applicants selected for an interview who require accommodation are asked to advise accordingly upon the invitation for an interview. We will work with you to meet your needs. All accommodation information provided will be treated as confidential and used only for the purpose of providing an accessible candidate experience.
This position requires direct or indirect access to hardware, software or technical information controlled under the Canadian Export Control List, the Canadian Controlled Goods Program, the Canadian Industrial Security Program, the US International Traffic in Arms Regulations (ITAR) and/or the US Export Administration Regulations (EAR). All applicants must be eligible or able to obtain authorization for such access including eligibility to the Canadian Controlled Goods Program and able to obtain a Canadian Enhanced Reliability security clearance.* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Airflow Architecture Computer Science Data pipelines Data quality dbt ELT Engineering ETL Industrial Machine Learning ML models NiFi Pipelines Python R Security
Perks/benefits: Career development Fitness / gym Health care Insurance
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