Publié il y a 9 jours
Senior Engineer - Data Engineering
@ Altimetrik
Vancouver, Colombie-Britannique
En bref
Altimetrik is hiring a Senior Engineer for Data Engineering in the Finance domain, requiring 5-10 years of experience. The role designs and builds data pipelines with Python and PySpark for large-scale processing and analytics. The posting also asks for Generative AI, LLM, and cloud deployment skills.
Responsabilités :
- Design and develop robust data pipelines using Python and PySpark
- Support data processing and analytics initiatives
- Manage data pipelines and implement data models
- Write efficient scripts for large-scale data aggregation
- Apply data warehousing and data governance best practices
Résumé des exigences :
- 5-10 years of experience in the Finance domain
- Advanced Python, PySpark, Pandas, and NumPy skills
- Master of Technology in Data Science or B.Tech in Computer Science with Data Science specialization
- Google Cloud Professional Data Engineer or AWS Solutions Architect certification preferred
- Generative AI, LLM, and Machine Learning experience an asset
Outils et compétences
Source et dates
Site carrière / système de candidatures · successfactors
- Date publiée par l’employeur
- 2026-11-04
- Première détection par notre source
- 2026-11-14
- Mise à jour du dossier source
- 2026-11-14
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Senior |
| Domaine | Données et analytique |
| Expérience | 5 an(s) et plus |
| Milieu de travail | Bureau |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
| Formation | Maîtrise (exigé), Baccalauréat (exigé) |
| Domaines d’études | Data Science, Computer Science |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Altimetrik
| Champ | Valeur |
|---|---|
| Offres sur Jobsy | 8 |
- Senior Engineer - Data Engineering, with Finance domain having 5-10 years of experience is required to design and develop robust data pipelines using Python and PySpark to support data processing and analytics initiatives.
- In-depth expertise in Data Engineering is critical for this role, encompassing advanced knowledge of Python and PySpark, along with strong proficiency in libraries such as Pandas and NumPy for data manipulation and analysis.
- The candidate should be familiar with data frameworks that facilitate data processing and transformation while applying Python in managing data pipelines and implementing data models to enhance data accessibility.
- Proficiency in PySpark is essential for handling large-scale data processing in a distributed computing environment, with advanced skills in writing efficient scripts to manipulate and aggregate big data sets.
- Knowledge of best practices in data engineering, including data warehousing concepts and data governance, is important, along with familiarity with cloud platforms like Google Cloud and AWS for deploying data solutions.
- A Master of Technology in Data Science or a Bachelor of Technology in Computer Science with a specialization in Data Science is required, while preferred certifications include the Google Cloud Professional Data Engineer and AWS Certified Solutions Architect – Associate.
- Good to have experience with AWS cloud services, familiarity with Generative AI concepts, and hands-on experience with Machine Learning frameworks, along with strong analytical skills and the ability to collaborate effectively with cross-functional teams.
Company Overview
Altimetrik delivers outcomes for our clients by rapidly enabling digital business & culture and infuse speed and agility into enterprise technology and connected solutions. We are practitioners of end-to-end business and technology transformation. We tap into an organization’s technology, people, and assets to fuel fast, meaningful results for global enterprise customers across financial services, payments, retail, automotive, healthcare, manufacturing, and other industries. Founded in 2012 and with offices across the globe, Altimetrik makes industries, leaders and Fortune 500 companies more agile, empowered and successful.
Altimetrik helps get companies get “unstuck”. We’re a technology company that lives organizations a process and context to solve problems in unconventional ways. We’re a catalyst for organization’s talent and technology, helping teams push boundaries and challenge traditional approaches. We make delivery more bold, efficient, collaborative and even more enjoyable.
Required Skills
- Strong Python development with solid object-oriented and functional design skills.
- Software engineering fundamentals: data structures, algorithms, and complexity analysis.
- Data lineage / data flow analysis: parsing and analyzing source code (AST-based and pattern-based static analysis) and comfort reading multiple languages.
- Hands-on Gen AI/LLM experience: prompt design, tool/function calling, and agent orchestration.
- Understanding of retrieval-augmented generation and vector/semantic search concepts.
- Experience designing APIs and backend services, plus the front-end fundamentals to build usable interfaces.
- Pipeline and deployment experience: build/test automation, CI/CD, and releasing across environments.
- Data manipulation and transformation skills.
Education
Bachelor’s degree in Computer Science, Software engineering or a related field.
Journal
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