Job Title: Senior Data Engineer (Banking / Financial Services)
Location: Mississauga ON (Hybrid 3 days onsite per week)
Interview Mode: In-person interview required
Employment Type: Contract / Full-time (as applicable)
Important Note: Only candidates currently residing in Ontario Canada are eligible. Candidates based in the USA will not be considered.
Overview
Navitas Partners LLC is looking for a highly skilled Senior Data Engineer to join a dynamic data and analytics team within the banking and financial services domain. The ideal candidate will have strong hands-on experience in designing and implementing scalable data solutions using modern cloud technologies. This role focuses on building robust high-performance data pipelines to support enterprise-level banking operations analytics and reporting.
Key Responsibilities
- Design develop and maintain scalable and high-performance data pipelines using Snowflake PySpark and SQL
- Develop complex and optimized SQL queries for efficient data extraction transformation and loading (ETL/ELT) processes
- Design and implement data models schemas and data architecture aligned with banking and business requirements
- Collaborate with data analysts data scientists and business stakeholders to gather and translate requirements into technical solutions
- Automate data workflows while ensuring data quality accuracy and consistency across systems
- Manage release cycles for data pipelines including deployment version control and environment coordination
- Monitor troubleshoot and optimize data pipelines and systems for performance and scalability
- Ensure adherence to data governance security and regulatory compliance standards within the banking domain
- Maintain comprehensive documentation for data architecture pipelines and workflows
- Continuously evaluate and implement industry best practices and emerging technologies
Required Skills & Experience
- Proven experience as a Data Engineer or in a similar enterprise data role
- Strong hands-on experience with Snowflake Python PySpark and SQL
- Solid understanding of data warehousing concepts and cloud data platforms
- Experience in designing and optimizing ETL/ELT pipelines
- Strong knowledge of release management deployment processes and version control systems
- Good understanding of banking and financial services data compliance and regulatory requirements
- Strong analytical troubleshooting and problem-solving skills
- Excellent communication and stakeholder management abilities
Preferred Qualifications
- Strong experience with Azure and Databricks
- Exposure to Apache Kafka or other streaming/data ingestion frameworks
- Familiarity with DevOps practices and CI/CD pipelines in data engineering environments
- Prior experience in banking or financial services domain strongly preferred
For more details reach at
About Navitas Partners LLC:It is a certified WBENC and one of the fastest-growingTechnical / ITstaffing firms in the US providing services to numerous clients. We offer the most competitive pay for every position. We understand this is a partnership. You will not be blindsided and your salary will be discussed upfront.
Required Experience:
Senior IC
Job Title: Senior Data Engineer (Banking / Financial Services)Location: Mississauga ON (Hybrid 3 days onsite per week) Interview Mode: In-person interview required Employment Type: Contract / Full-time (as applicable)Important Note: Only candidates currently residing in Ontario Canada are eligible....
Job Title: Senior Data Engineer (Banking / Financial Services)
Location: Mississauga ON (Hybrid 3 days onsite per week)
Interview Mode: In-person interview required
Employment Type: Contract / Full-time (as applicable)
Important Note: Only candidates currently residing in Ontario Canada are eligible. Candidates based in the USA will not be considered.
Overview
Navitas Partners LLC is looking for a highly skilled Senior Data Engineer to join a dynamic data and analytics team within the banking and financial services domain. The ideal candidate will have strong hands-on experience in designing and implementing scalable data solutions using modern cloud technologies. This role focuses on building robust high-performance data pipelines to support enterprise-level banking operations analytics and reporting.
Key Responsibilities
- Design develop and maintain scalable and high-performance data pipelines using Snowflake PySpark and SQL
- Develop complex and optimized SQL queries for efficient data extraction transformation and loading (ETL/ELT) processes
- Design and implement data models schemas and data architecture aligned with banking and business requirements
- Collaborate with data analysts data scientists and business stakeholders to gather and translate requirements into technical solutions
- Automate data workflows while ensuring data quality accuracy and consistency across systems
- Manage release cycles for data pipelines including deployment version control and environment coordination
- Monitor troubleshoot and optimize data pipelines and systems for performance and scalability
- Ensure adherence to data governance security and regulatory compliance standards within the banking domain
- Maintain comprehensive documentation for data architecture pipelines and workflows
- Continuously evaluate and implement industry best practices and emerging technologies
Required Skills & Experience
- Proven experience as a Data Engineer or in a similar enterprise data role
- Strong hands-on experience with Snowflake Python PySpark and SQL
- Solid understanding of data warehousing concepts and cloud data platforms
- Experience in designing and optimizing ETL/ELT pipelines
- Strong knowledge of release management deployment processes and version control systems
- Good understanding of banking and financial services data compliance and regulatory requirements
- Strong analytical troubleshooting and problem-solving skills
- Excellent communication and stakeholder management abilities
Preferred Qualifications
- Strong experience with Azure and Databricks
- Exposure to Apache Kafka or other streaming/data ingestion frameworks
- Familiarity with DevOps practices and CI/CD pipelines in data engineering environments
- Prior experience in banking or financial services domain strongly preferred
For more details reach at
About Navitas Partners LLC:It is a certified WBENC and one of the fastest-growingTechnical / ITstaffing firms in the US providing services to numerous clients. We offer the most competitive pay for every position. We understand this is a partnership. You will not be blindsided and your salary will be discussed upfront.
Required Experience:
Senior IC
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