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Databricks Developer
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Toronto, Ontario, Canada Apex Systems Full timeCompany OverviewApex Systems is an equal opportunity employer dedicated to providing top-notch data engineering solutions.SalaryThis role offers an attractive compensation package, including a salary, bonus, health benefits, perks, and more.Job DescriptionWe are seeking a skilled Databricks Developer to design, develop, and implement advanced data solutions...
Databricks Engineer
1 month ago
With our client, you will work at the forefront of data innovation, collaborating with top-tier teams and stakeholders to craft solutions that drive real-world impact. With a focus on modern tools like Databricks, Unity Catalog, and Azure Cloud, you'll have the opportunity to shape the future of our data infrastructure.
What You'll Do:
Build Next-Level Data Pipelines:
- Design, develop, and maintain scalable ETL/ELT pipelines using Databricks.
- Transform and process massive datasets with PySpark/Spark and SQL.
- Seamlessly integrate data from diverse sources such as Azure Blob Storage, ADLS, and relational/non-relational systems.
Collaborate & Innovate:
- Partner with cross-functional teams to prepare data for dashboards and BI tools.
- Translate business needs into tailored data solutions that deliver measurable value.
Optimize for Success:
- Maximize performance and cost efficiency of Databricks workloads.
- Ensure data pipeline reliability and accuracy through vigilant monitoring and troubleshooting.
Lead in Governance & Security:
- Implement data governance, access controls, and security standards using Unity Catalog.
- Align with organizational and regulatory data policies for compliance.
Streamline Deployments:
- Utilize Databricks Asset Bundles for smooth deployment of jobs, notebooks, and configurations.
- Manage version control and champion development best practices.
What You Bring to the Table:
Core Expertise:
- Extensive experience with Databricks (Delta Lake, Unity Catalog, Lakehouse Architecture, Delta Live Pipelines, Databricks Runtime).
- Proficiency in Azure Cloud Services.
- Strong command of Spark and PySpark for big data processing.
- Solid knowledge of relational databases.
- Familiarity with Databricks Asset Bundles and GitLab.
Preferred Skills:
- Experience with Databricks Runtimes and advanced configurations.
- Knowledge of streaming frameworks like Spark Streaming.
- Proven track record in developing real-time data solutions.
Certifications (a Plus):
- Azure Data Engineer Associate or Databricks Certified Data Engineer Associate.
What's in It for You?
- The chance to work on impactful projects using the latest data technologies.
- Collaboration with industry-leading professionals in a supportive, growth-oriented environment.
- Opportunities to shape the future of data infrastructure and make a tangible difference.
Take the next step in your career and join a team that values innovation, collaboration, and excellence in data engineering. Apply today to become our next Azure Data Engineer and be part of something extraordinary