Publié il y a 91 mois
Data Engineer
@ Levio
Canada
En bref
Levio is hiring a Data Engineer to design, build and support data feeds and integration pipelines from source systems through to downstream delivery. The role involves integrating data from APIs, SFTP, databases and other sources, processing data with Python and SQL, developing Snowflake pipelines, and deploying containerized workloads on AWS. The posting states full-time, permanent employment with flexible working hours and four weeks of vacation.
Responsabilités :
- Design and maintain data feeds and integration pipelines
- Build integrations with REST APIs, SFTP and databases
- Develop Python applications for data ingestion and transformation
- Develop and support Snowflake data pipelines
- Troubleshoot production data feeds and pipelines
Résumé des exigences :
- Production experience building data feeds or pipelines
- Strong Python and T-SQL skills
- Hands-on Snowflake experience
- Experience with Data Vault modeling
- Experience with REST APIs and SFTP integrations
- Basic Docker and AWS ECS knowledge
Outils et compétences
Avantages mentionnés
Source et dates
Site carrière / système de candidatures · greenhouse
- Date publiée par l’employeur
- 2019-05-03
- Première détection par notre source
- 2026-10-08
- Mise à jour du dossier source
- 2026-10-10
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Domaine | Données et analytique |
| Heures par semaine | 40 (estimé) |
| Milieu de travail | Bureau |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Candidatures encouragées | Autochtones, Femmes, Personnes racisées, Personnes handicapées |
| Avantages mentionnés | Congés payés généreux, Horaire flexible, Régime de retraite, Prime de rendement, Aide au transport en commun, Formation payée, Allocation de télétravail |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Levio
Profil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
From vision to value, delivering large‑scale digital transformation with measurable business impact.
Description complète de l’entreprise
From Levio’s early beginnings, we have decided to build our foundations upon our most precious wealth : an incredible team of consultants. In fact, our reputation on the market is the result of the personality of the men and women who make up our team, their engagement and their exceptional expertise. The driving force of our organization is our desire to deliver solutions which take full advantage of new technologies in order to help our clients gain in efficiency and in profitability.
- Abonnés LinkedIn
- 59 893
- Personnes associées sur LinkedIn
- 1 471
- Bureaux déclarés
- 1015, Wilfrid-Pelletier, suite 530, Québec, Québec G1W 0C4, CA
- 1801 av. McGill Collège, 10e étage, Montréal, Québec H3A 2N4, CA
- 439 University Ave, 5th floor, Toronto, Ontario M5G 1Y8, CA
- 7301 North 16th Street, Suite 102, Phoenix, Arizona 85020, US
- Bâtiment Shore 5 Technopolis, Rabat, Maroc, MA
- 51 Water Street, Charlottetown, PE C1A 1A3, CA
- 3330 rue King O, #190, Sherbrooke, Québec J1L 1C9, CA
- 55 E Monroe St., #3800, Chicago, IL 60603, US
- 124, Rue Réaumur, Paris, Île-de-France 75002, FR
- Office No. 10, Unit No. 505, A Wing – Hamilton, Hiranandani Business Park, Ghodbunder Road, Thane (W), Mumbai, Maharashtra 400607, IN
- 135 Laurier Ave W, Ottawa, Ontario K1P 5J2, CA
- Catégories d’activité
- Software Engineering
- Data Visualization
- Information Technology
- Cyber Security
- Consulting
- Information Services
- Enterprise Software
- Business Intelligence
- Management Consulting
- Cloud Computing
- Financial Services
- Artificial Intelligence (AI)
- Government
- Autres noms enregistrés
- Levio
- Spécialités
- Gestion de programmes et de projets
- Architecture d’entreprise et réingénierie de processus d’affaires
- Architecture de systèmes d’information
- Mise en œuvre TI et affaires
- Transformation numérique
- Digital Transformation
- Program Management
- Technology
- and Consultancy
- Le profil indique une agence de recrutement
- Non
- Investissement total déclaré
- 92 140 626
La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.
From Levio’s early beginnings, we have decided to build our foundations upon our most precious wealth : an incredible team of consultants. In fact, our reputation on the market is the result of the personality of the men and women who make up our team, their engagement and their exceptional expertise. The driving force of our organization is our desire to deliver solutions which take full advantage of new…
| Champ | Valeur |
|---|---|
| Secteur | IT Services and IT Consulting |
| Taille | 1,001-5,000 employees |
| Siège social | Québec, Québec |
| Type d’organisation | Partnership |
| Fondée en | 2014 |
| Spécialités | Gestion de programmes et de projetsArchitecture d’entreprise et réingénierie de processus d’affairesArchitecture de systèmes d’informationMise en œuvre TI et affairesTransformation numériqueDigital TransformationProgram ManagementTechnologyand Consultancy |
| Offres sur Jobsy | 45 |
| Voir la page |
Are you looking to thrive in a stimulating work environment ? Join the leader in digital transformation and boost your career at Levio. We offer you a unique opportunity to develop your expertise within a high-caliber team. The variety of challenges presented by our clients will give you the opportunity to excel and keep your expertise at its peak. Experience the daily life of our clients and be a significant player in the most ambitious projects in technology and software solutions
POSITION OVERVIEW
We are seeking a Data Engineer to design, build, and support data feeds and integration pipelines from the ground up.
The role will involve integrating data from APIs, SFTP files, databases, and other sources; processing and transforming data using Python and SQL; developing Snowflake data pipelines; and deploying containerized workloads in AWS.
The ideal candidate is a hands-on data engineer with strong Python, Microsoft SQL Server, and Snowflake experience, along with the ability to troubleshoot production data feeds and work across cloud-based data and integration technologies.
YOUR RESPONSIBILITIES
- Design, develop, and maintain data feeds and integration pipelines from source systems through processing and downstream delivery.
- Build integrations using REST APIs, SFTP, SQL Server, Snowflake, and other data sources.
- Develop Python applications and scripts for data ingestion, transformation, validation, reconciliation, and processing.
- Develop and support Snowflake data pipelines, including incremental data-loading patterns and Snowflake-native capabilities such as stages, Snowpipe, Streams, Tasks, and stored procedures.
- Apply Data Vault modeling principles, including Hubs, Links, Satellites, hash keys, hash differences, and incremental loading.
- Write and troubleshoot T-SQL for data extraction, transformation, validation, reconciliation, and data processing.
- Containerize Python-based data-processing applications using Docker and run them as AWS ECS tasks.
- Monitor and troubleshoot data feeds and pipelines, resolving issues involving APIs, SFTP transfers, data processing, SQL Server, Snowflake, and downstream systems.
- Implement appropriate error handling, logging, monitoring, and retry mechanisms to support reliable production data feeds.
- Collaborate with technical and business stakeholders to understand requirements, resolve data issues, and support end-to-end data integration workflows
- Maintain technical documentation for data pipelines, integrations, data models, and operational procedures..
REQUIRED QUALIFICATIONS
- Production experience developing data feeds, data integrations, or data pipelines.
- Strong Python development experience, including data processing and transformation.
- Strong hands-on experience with Microsoft SQL Server and T-SQL, including complex queries, joins, CTEs, aggregations, data manipulation, views, and stored procedures.
- Hands-on experience with Snowflake, including data querying, loading, transformation, validation, and pipeline development.
- Experience with Data Vault modeling, including Hubs, Links, Satellites, hash keys, hash differences, and incremental data-loading patterns.
- Experience developing and supporting Snowflake pipelines using stages, Snowpipe, Streams, Tasks, and stored procedures.
- Hands-on experience integrating with REST APIs, including authentication, response handling, error handling, and pagination.
- Hands-on experience with SFTP/file-based data integrations.
- Experience processing structured data such as JSON, CSV, and XML.
- Basic working knowledge of Docker, including containerizing applications.
- Basic working knowledge of AWS ECS and running containerized workloads as ECS tasks.
- Strong troubleshooting and problem-solving skills, particularly in production data and integration environments.
- Familiarity with version control and standard software development lifecycle practices
PREFERRED QUALIFICATIONS
- Experience with AWS services, particularly ECS, S3, CloudWatch, IAM, and Secrets Manager.
- Experience with Kafka or similar event-streaming/message-broker technologies.
- Experience with CI/CD pipelines for building, testing, security scanning, and deploying Python and containerized applications.
- Experience with CI/CD tools such as Harness, GitHub Actions, GitLab CI, Jenkins, or similar platforms.
- Experience working with MongoDB, including querying, ingesting, updating, and processing data from MongoDB collections as part of data integration workflows.
- Experience with infrastructure-as-code tools such as Terraform or CloudFormation.
- Experience implementing data-quality, validation, reconciliation, monitoring, alerting, and operational support processes.
- Familiarity with AWS networking and security concepts
- Experience working in an Agile/Scrum development environment.
WHAT SUCCESS LOOKS LIKE
The successful candidate will be able to take a data-feed requirement from source to production, developing the necessary Python processing and integrations, working with SQL Server and Snowflake, applying appropriate data
modeling and incremental-loading patterns, containerizing the solution, and deploying it through AWS.
They will also be able to independently troubleshoot production issues across the end-to-end workflow:
API / SFTP / Database / Event Stream - Python Processing - SQL Server / Snowflake / MongoDB - AWS ECS - Downstream Systems
The candidate should be comfortable working independently, collaborating across technical teams, and taking ownership of the reliability and ongoing operation of the data pipelines they build.
BENEFITS AND WORK ENVIRONMENT
Levio offers a comprehensive and flexible benefits package designed to support your professional growth and personal wellbeing, including:
- 4 weeks of cumulative vacation starting from day one
- Flexible working hours
- Professional Development Allowance (PDA) for training, computer equipment, and physical activities
- Training tailored to your areas of expertise
- Registered Retirement Savings Plan (RRSP) with employer contribution up to 3% of gross salary
- Modular group insurance plan
- Public transportation or parking reimbursement when required
- Referral bonuses
- 11 statutory holidays
- Personal days
- An active social life (5to7 events, social club, healthy snacks, coffee, and more)
- Employment type: Full time, permanent
Employment Equity
Levio subscribes to the principle of employment equity and applies an equal access employment program for women, Indigenous peoples, visible minorities, ethnic minorities, and persons with disabilities.
We value diversity and inclusion and are committed to creating a healthy, accessible, and rewarding work environment that highlights the unique contributions of our employees. Accommodations are available upon request for candidates participating in all aspects of the selection process.
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