Job DescriptionSenior Data Engineer
Location: Montreal, CA ( 3 days onsite is must)
Duration: 12 Months
SKILLS / QUALIFICATIONS
Bachelor’s degree in computer science, Software Engineering, Information Technology, Management Information Systems or related field required (Master’s degree preferred)
8 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
RequirementsSenior Data Engineer Location: Montreal, CA ( 3 days onsite is must) Duration: 12 Months SKILLS / QUALIFICATIONS Bachelor’s degree in computer science, Software Engineering, Information Technology, Management Information Systems or related field required (Master’s degree preferred) 8 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