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Data engineer Offres d'emploi - Repentigny, QC

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Data engineer • repentigny qc

Dernière mise à jour : il y a 4 jours

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Data Engineer

Data Engineer

SereneAidMontreal East, QC, ca
Il y a 4 jours
Type de contrat
  • Temps plein
Description de poste

Position: Data Engineer

Location: Montreal, QC ( 3 days onsite is must)

Duration: 12+ Months


Data Engineer


KEY RESPONSIBILITIES:

  • Designing, implementing, managing scalable data solutions using Snowflake environment for optimized data storage and processing.
  • Migrate existing data domains/flows from relational data store to cloud data store (Snowflake).
  • Identify and optimize new/existing data workflows.
  • Identify and implement data integrity practices.
  • Integrate data governance and data science tools with Snowflake ecosystem as per practice.
  • Support the development of data models and ETL processes to ensure high quality data ingestion in cloud data store.
  • Collaborate with team members to design and implement effective data workflows and transformations.
  • Assist in the maintenance and optimization of Snowflake environments to improve performance and reduce costs.
  • Contribute to proof of concept, documentation and best practices for data management and governance within the Snowflake ecosystem.
  • Participate in code reviews and provide constructive feedback to improve team deliverables quality
  • Design and develop data ingestion pipeline using Talend/Informatica using industry best practices.
  • Writing efficient SQL and Python scripts for large dataset analysis and building end to end automation process on a set schedule.
  • Design, implement data distribution layer using Snowflake REST API.


SKILLS / QUALIFICATIONS

  • Bachelor’s degree in computer science, Software Engineering, Information Technology, Management Information Systems or related field required (Master’s degree preferred)
  • 5 to 10 years’ experience in data analysis, data objects development and modeling in Snowflake data store.
  • Snowflake REST API experience is required
  • Experience with building data pipelines from legacy to Snowflake for unstructured and semi structured datasets
  • Informatica ETL and/or Talend ETL experience.
  • Efficient SQL and PLSQL queries development and Python scripts development experience.
  • Proven ability to work in distributed systems
  • Proficiency with relational databases (such as DB2) querying and focus on data transformations.
  • Excellent problem-solving skills and team-oriented mindset
  • Strong data modelling concepts and schema design on relational data store and on cloud data store
  • Strong communication skills both verbal and written. Capable of collaborating effectively across a variety of IT and Business groups, across regions and different roles.
  • Familiarity with data visualization tools such as Tableau and PowerBI is a plus.
  • Collaborating with data scientists/experts to integrate machine learning models into Snowflake
  • Data Warehousing background is required


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