Data Engineer
Adecco is currently hiring a full-time experienced Data Engineer to join our team and play a key role in developing and maintaining scalable infrastructure for data processing and analysis for our client in Calgary, AB. In this role you will be responsible for building and optimizing data pipelines, ensuring data quality, and enabling advanced analytics across the organization.
An immediate focus of this role will be to stabilize a lift-and-shift migration from legacy systems, so experience in migration support and troubleshooting is essential. This position requires strong knowledge of Databricks and SAP data structures, as well as a solid background in large-scale data engineering practices.
- Location: Calgary, AB
- Shift: Monday to Friday
- Job type: Temporary | Full-time
Here's why you should apply:
- Paid weekly accurate and on time
- Strong health and safety programs
- Medical and dental benefits once qualified
- Free training programs
- New and quicker onboarding process
Responsibilities:
- Design, build, and maintain efficient, scalable, and robust data pipelines and data integration solutions
- Monitor and improve data quality, reliability, and performance
- Support and stabilize existing systems during the legacy-to-modern platform migration
- Collaborate with data analysts, data scientists, and business stakeholders to support analytics and reporting needs
- Work closely with platform and infrastructure teams to optimize performance and cost of data solutions
- Implement best practices for data engineering and data governance
- Troubleshoot data issues and provide timely resolution
Qualifications:
- 5+ years of experience in Data Engineering, particularly on the Databricks platform
- Experience working with SAP data and integration with modern data platforms
- Strong expertise in building data pipelines using tools like Apache Spark, Databricks, Delta Lake, etc.
- Proficient in SQL, Python, and other scripting languages used in data engineering
- Hands-on experience with cloud platforms (Azure, AWS, or GCP)
- Deep understanding of ETL/ELT processes and data architecture design
- Ability to work in a fast-paced environment and handle complex, multi-source data integrations
- Experience in enterprise-scale data migration projects
- Knowledge of data warehousing concepts and tools
- Familiarity with CI/CD and data pipeline automation
- Must be legally eligible to work, and reside in Canada
Are you interested in this position? Apply now! Our dynamic team of recruiters will reach out if you qualify for this role.
@@j
CAC2088