Data Engineer – Capital Markets

We are

At Synechron we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechrons progressive technologies and optimization strategies span end-to-end Artificial Intelligence Consulting Digital Cloud & DevOps Data and Software Engineering servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization from Artificial Intelligence and Blockchain to Data Science models Digital Underwriting mobile-first applications and more. Over the last 20 years our company has been honored with multiple employer awards recognizing our commitment to our talented teams. With top clients to boast about Synechron has a global workforce of 17000 and has 58 offices in 22 countries within key global markets.

Our challenge

We are seeking an experiencedSenior Data Engineerwith strong expertise inSQL Data Warehousing and Snowflaketo join our Capital Markets technology team. The ideal candidate will play a key role in designing developing and optimizing enterprise-scale data platforms and analytical solutions that support trading risk management regulatory reporting market data and other capital markets functions. This role requires hands-on experience building high-performance data pipelines modern cloud-based data warehouses and scalable ETL/ELT solutions. Candidates with a strong understanding of Capital Markets products and workflows will be highly preferred.

Additional Information*

The base salary for this position will vary based on geography and other accordance with law the base salary for this role if filled within Mississauga ON is CAD $120k CAD $125k/year & benefits (see below).

The Role

Responsibilities:

• Design develop and maintain scalable data engineering solutions and data pipelines.
• Build and optimize enterprise Data Warehouse solutions using Snowflake.
• Develop efficient and complex SQL queries stored procedures views and data transformation logic.
• Create and support ETL/ELT frameworks for ingesting and processing large volumes of financial data.
• Collaborate with business analysts traders risk teams and data consumers to understand data requirements.
• Design data models that support reporting analytics and regulatory compliance needs.
• Ensure data quality integrity governance and security across the data ecosystem.
• Troubleshoot performance bottlenecks and optimize database and warehouse performance.
• Participate in architecture discussions and recommend best practices for data engineering and cloud adoption.
• Support production deployments and manage ongoing enhancements to data platforms.
• Create technical documentation data lineage and operational support procedures.

Requirements:

• Bachelors degree in Computer Science Engineering Information Systems or related discipline.
• 8 years of experience in Data Engineering Data Warehousing or related roles.
• Strong Capital Markets domain knowledge.
• Deep understanding of market data reference data trading systems risk securities fixed income equities derivatives or front-to-back office processes.
• Experience working in Agile delivery environments.
• SQL
• Expert-level SQL development experience.
• Complex joins analytical functions window functions stored procedures and query performance tuning.
• Data reconciliation and optimization of high-volume datasets.
• Data Warehouse
• Strong experience designing and implementing Data Warehouse solutions.
• Dimensional modeling.
• Star schema and Snowflake schema design.
• Data Mart architecture.
• Data integration and historical data management.
• Snowflake
• Hands-on Snowflake development and administration experience.
• Snowflake architecture and performance optimization.
• Data loading and transformation using Snowflake.
• Snowpipe Streams Tasks Time Travel and Cloning concepts.
• Security role-based access and data governance within Snowflake.
• Python / PySpark
• Experience developing data ingestion and transformation pipelines.
• Data processing using PySpark.
• API integration and automation.
• Data validation and quality frameworks.
• Performance tuning of Spark workloads.

Preferred but not required:

• SSIS
• Experience developing and supporting SSIS packages.
• Legacy ETL migration to modern cloud platforms.
• Scheduling and monitoring ETL workflows.

We offer:

• A multinational organization with 58 offices in 22 countries and the possibility to work abroad.
• 15 days (3 weeks) of paid annual leave plus an additional 10 days of personal leave(floating days and sick days).
• A comprehensive insurance plan including medical dental vision life insurance and long-term disability.
• Flexible hybrid policy.
• RRSP with employers contribution up to 4%.
• A higher education certification policy.
• On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses.
• Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups.
• Cutting edge projects at the worlds leading tier-one banks financial institutions and insurance firms.
• A truly diverse fun-loving and global work culture.

SYNECHRONS DIVERSITY & INCLUSION STATEMENT

Diversity & Inclusion are fundamental to our culture and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity Equity and Inclusion (DEI) initiative Same Difference is committed to fostering an inclusive culture promoting equality diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger successful businesses as a global company. We encourage applicants from across diverse backgrounds race ethnicities religion age marital status gender sexual orientations or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements mentoring internal mobility learning and development programs and more.

All employment decisions at Synechron are based on business needs job requirements and individual qualifications without regard to the applicants gender gender identity sexual orientation race ethnicity disabled or veteran status or any other characteristic protected by law.

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