Senior Data Engineer (Databricks, Delta Lake -Focused)- In-Person Interview Mandatory
About the role
Sr. Data Engineer- In-Person Interview is Mandatory Hybrid: 2- days onsite (9am-5pm)- Toronto, ON 12 Months
Senior Data Engineer (Databricks-Focused) We are seeking a Senior Data Engineer with deep expertise in building scalable Lakehouse solutions using Databricks. This role will lead the design of data architecture, develop high-performance pipelines, and own end-to-end data workflows while mentoring junior engineers.
Key Responsibilities Design and implement Lakehouse architectures using Delta Lake. Build and optimize batch and streaming pipelines using Apache Spark (PySpark/Scala). Own end-to-end data flows: ingestion → transformation → modeling → serving. Implement data quality, monitoring, and CI/CD best practices. Optimize cluster performance and cost efficiency within Databricks. Provide technical leadership, conduct code reviews, and mentor junior engineers.
Required Experience 8+ years in data engineering, with strong hands-on experience in Databricks. Advanced SQL and data modeling expertise. Deep experience with Spark performance tuning and large-scale data processing. Strong understanding of cloud platforms (AWS, Azure, or GCP). Proven ability to design and deliver production-grade data platforms
About Q1 Technologies, Inc.
Q1 is a professional organization that delivers quality products and services. Q1 specializes in Software Development, Business Consulting and Technology Integration. We provide end-to-end integrated solutions that include professional services, functional and technical support and ongoing maintenance using our on-site, off-site and off-shore resources. We offer a comprehensive range of managed services for enterprise business and technology solutions with a team of highly experienced professionals. Q1 is also a Value Added Reseller of Hardware and Software products for our partners including IBM, HP, Cisco, Lenovo, Riverbed, Oracle, Microsoft, Symantec, Lexmark and several others.
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Senior Data Engineer (Databricks, Delta Lake -Focused)- In-Person Interview Mandatory
About the role
Sr. Data Engineer- In-Person Interview is Mandatory Hybrid: 2- days onsite (9am-5pm)- Toronto, ON 12 Months
Senior Data Engineer (Databricks-Focused) We are seeking a Senior Data Engineer with deep expertise in building scalable Lakehouse solutions using Databricks. This role will lead the design of data architecture, develop high-performance pipelines, and own end-to-end data workflows while mentoring junior engineers.
Key Responsibilities Design and implement Lakehouse architectures using Delta Lake. Build and optimize batch and streaming pipelines using Apache Spark (PySpark/Scala). Own end-to-end data flows: ingestion → transformation → modeling → serving. Implement data quality, monitoring, and CI/CD best practices. Optimize cluster performance and cost efficiency within Databricks. Provide technical leadership, conduct code reviews, and mentor junior engineers.
Required Experience 8+ years in data engineering, with strong hands-on experience in Databricks. Advanced SQL and data modeling expertise. Deep experience with Spark performance tuning and large-scale data processing. Strong understanding of cloud platforms (AWS, Azure, or GCP). Proven ability to design and deliver production-grade data platforms
About Q1 Technologies, Inc.
Q1 is a professional organization that delivers quality products and services. Q1 specializes in Software Development, Business Consulting and Technology Integration. We provide end-to-end integrated solutions that include professional services, functional and technical support and ongoing maintenance using our on-site, off-site and off-shore resources. We offer a comprehensive range of managed services for enterprise business and technology solutions with a team of highly experienced professionals. Q1 is also a Value Added Reseller of Hardware and Software products for our partners including IBM, HP, Cisco, Lenovo, Riverbed, Oracle, Microsoft, Symantec, Lexmark and several others.