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Posted 9 days ago

Senior Engineer - Data Engineering

@ Altimetrik

Vancouver, British Columbia

5+ years experience
Apply now
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Overview

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.

Responsibilities:

  • 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

Requirements summary:

  • 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

Tools & skills

Source and dates

Employer career site / ATS feed · successfactors

Employer posting date
2026-11-04
First seen by our source
2026-11-14
Source record updated
2026-11-14

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

Job details

SenioritySenior
DepartmentData & analytics
Experience5+ years
Work settingOffice
PositionMostly sitting
Physical demandsphysical low · computer high
LanguagesEnglish
EducationMaster’s degree (required), Bachelor’s degree (required)
Fields of studyData Science, Computer Science

Summary and details written by AI from the posting; the employer’s posting is the authority.

Altimetrik

FieldValue
Open jobs on Jobsy8
Job description
79126
  • 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.

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