Data Lake Engineer

Description: Data Lake Data Engineer

Data Ingestion: Collect and ingest data from various sources (structured/semi-structured/unstructured) and ensure its cleansing, transformation, and preparation for effective use in Power BI. Must be able to work in a medallion data lake architecture (bronze, silver, gold).

Proficiency: Python, Spark, Microsoft Fabric/Databricks, Data Factory. Proficiency in Purview is desirable.

Knowledge of: relational databases (SQL Server, NoSQL), data modeling practices, APIs and data integration, and the data product concept.

Start date: ASAP

In office days: Tuesday and Friday

Term of appointment: December 31, 2025

Conversion possible: Yes

Extension possible: Yes

Advantages

In office Tuesday and Fridays. Big project requiring expertise in Data Lake.

Responsibilities

Data Ingestion: Collect and ingest data from various sources (structured/semi-structured/unstructured) and ensure its cleansing, transformation, and preparation for effective use in Power BI. Must be able to work in a medallion data lake architecture (bronze, silver, gold).

Proficiency: Python, Spark, Microsoft Fabric/Databricks, Data Factory. Proficiency in Purview is desirable.

Knowledge of: relational databases (SQL Server, NoSQL), data modeling practices, APIs and data integration, and the data product concept.

Qualifications

Data Ingestion: Collect and ingest data from various sources (structured/semi-structured/unstructured) and ensure its cleansing, transformation, and preparation for effective use in Power BI. Must be able to work in a medallion data lake architecture (bronze, silver, gold).

Proficiency: Python, Spark, Microsoft Fabric/Databricks, Data Factory. Proficiency in Purview is desirable.

Knowledge of: relational databases (SQL Server, NoSQL), data modeling practices, APIs and data integration, and the data product concept.

Summary

Data Ingestion: Collect and ingest data from various sources (structured/semi-structured/unstructured) and ensure its cleansing, transformation, and preparation for effective use in Power BI. Must be able to work in a medallion data lake architecture (bronze, silver, gold).

Proficiency: Python, Spark, Microsoft Fabric/Databricks, Data Factory. Proficiency in Purview is desirable.

Knowledge of: relational databases (SQL Server, NoSQL), data modeling practices, APIs and data integration, and the data product concept.

Start date: ASAP

In office days: Tuesday and Friday

Term of appointment: December 31, 2025

Conversion possible: Yes

Extension possible: Yes

Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.

Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.