Valtech is an experience innovation company that partners with recognized brands and offers growth opportunities, a values-driven culture, and international careers.
The Data Engineer/Senior Data Engineer role requires a strong background in data engineering, particularly with Databricks and Azure.
The candidate will manage projects and move data between zones in Databricks, requiring proficiency in SQL and Python.
Responsibilities include building and supporting non-interactive and real-time data pipelines, developing fault-tolerant data computational pipelines, leading complex program implementations, maintaining documentation, tuning queries, and performing root cause analysis.
Requirements:
Strong expertise in Databricks SQL/Spark SQL, PySpark, Pandas, and familiarity with Databricks workspace, clusters, jobs/workflows, and notebooks.
Experience in creating ETL pipelines to move data from raw to processed zones, knowledge of Databricks Delta Lake, and using Databricks REST API for automation.
The candidate must be collaborative, proactive, communicative, and able to work remotely while remaining engaged as a team member.
Strong analytical and design skills are required, along with proven industry experience in data engineering, analytics, or data science projects, or a relevant degree in quantitative studies.
Benefits:
This is a full-time position based in Canada, offering a competitive compensation package.
Employees enjoy flexibility with remote and hybrid work options, depending on the country.
There are opportunities for career advancement, including international mobility and professional development programs.
Access to cutting-edge tools, training, and industry experts is provided for learning and development.