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. Synechron’s 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 14500+, and has 58 offices in 21 countries within key global markets. For more information on the company, please visit our website or LinkedIn community .
Our challenge
We are seeking an experienced Data Engineer to design, develop, and maintain scalable data solutions. The ideal candidate will have a strong background in Python, PySpark, SQL, Snowflake, Data Factory, Data Lakes, and OpenShift, with a passion for building reliable data pipelines and enabling data-driven decision-making.
Additional Information*
The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Mississauga, ON is CAD $115k – CAD $130k/year & benefits (see below).
The Role
Responsibilities:
- Develop, construct, test, and maintain scalable data pipelines and ETL/ELT workflows using Python, PySpark, and SQL.
- Manage and optimize data storage solutions in Snowflake and on Data Lakes.
- Integrate data from multiple sources and ensure data quality, integrity, and security.
- Design and implement automated workflows using Azure Data Factory or other orchestration tools.
- Deploy and manage containerized applications and services on OpenShift.
- Collaborate with Data Scientists, Analysts, and Stakeholders to understand data requirements.
- Monitor and troubleshoot data pipelines and resolve performance bottlenecks.
- Maintain documentation of data architecture, workflows, and best practices.
- Ensure compliance with data governance and security policies.
Requirements:
- 8+ years of professional experience in a related field.
- Bachelor's or Master’s degree in Computer Science, Data Engineering, or related field.
- Proven experience as a Data Engineer or in similar roles.
- Strong proficiency in Python, with frameworks like PySpark.
- Expertise in SQL and experience with Snowflake Data Warehouse.
- Hands-on experience with data orchestration using Azure Data Factory or similar tools.
- Knowledge of Data Lakes architecture and management.
- Experience deploying and managing containerized applications on OpenShift or Kubernetes.
- Familiarity with cloud platforms (Azure, AWS, GCP).
- Understanding of data security, governance, and compliance best practices.
- Strong problem-solving skills and attention to detail.
- Excellent communication and teamwork abilities.
Preferred, but not required:
- Experience with other big data tools (e.g., Kafka, Hadoop).
- Knowledge of CI/CD pipelines and DevOps practices.
- Familiarity with other cloud data services and tools.
We offer:
- A multinational organization with 58 offices in 21 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 employer’s 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 world’s leading tier-one banks, financial institutions and insurance firms.
- A truly diverse, fun-loving and global work culture.
