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Senior Data Engineer – Quantitative Data Pipelines

Lumenalta

Montreal

Remote

CAD 65,000 - 90,000

Full time

10 days ago

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Job summary

Join a leading company as a Senior Data Engineer to design and maintain data pipelines and collaborate with experts in the field. This fully remote role offers a dynamic environment focused on scalable and clean data solutions, making a significant impact across various industries. Candidates should have extensive experience with Databricks and AWS, ensuring effective data management and analysis.

Qualifications

  • 7+ years of experience as a Data Engineer with at least 2 years focusing on Databricks ecosystem.
  • Strong proficiency in Python including data science libraries like Pandas.
  • Proven experience with AWS cloud services and data architecture.

Responsibilities

  • Design, develop, and maintain efficient ETL/ELT data pipelines.
  • Transform and prepare data for quantitative analysis and machine learning applications.
  • Collaborate with data scientists to understand their data requirements.

Skills

Python
SQL
AWS
Databricks
DBT
Apache Airflow

Job description

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We help global enterprises launch digital products that reach millions of users. Our projects involve massive datasets, complex pipelines, and real-world impact across industries. We're seeking a Data Engineer to join our remote team and help us solve meaningful problems with clean, scalable data solutions.

What You'll Do

  • Design, develop, and maintain efficient ETL/ELT data pipelines using Databricks, AWS, DBT, and Apache Airflow
  • Transform and prepare data for quantitative analysis and machine learning applications
  • Collaborate directly with data scientists and quant analysts to understand their data requirements
  • Implement data quality checks and validation processes to ensure accuracy of financial data
  • Optimize data models and queries for improved performance
  • Document data flows, transformations, and technical specifications
  • Support on-the-fly development requests in a fast-paced environment
  • Troubleshoot and resolve data pipeline issues independently

What We’re Looking For

  • 7+ years of experience as a Data Engineer with at least 2 years focusing on Databricks ecosystem
  • Strong proficiency in Python, including data science libraries like Pandas
  • Proven experience with AWS cloud services and data architecture
  • Experience with DBT for data transformation and documentation
  • Familiarity with Apache Airflow for workflow orchestration
  • Strong SQL skills for data manipulation and analysis
  • Excellent communication skills with ability to collaborate directly with end-users
  • Self-starter capable of working independently with minimal supervision
  • Ability to work in a fast-paced environment with changing requirements

The job is 100% Remote; please ensure you have a comfortable office set at your desired work location.

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Contract
Job function
  • Job function
    Engineering and Information Technology
  • Industries
    IT Services and IT Consulting

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