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Senior Data Engineer
Synechron
- Mississauga, Ontario, Canada
- Mississauga, Ontario, Canada
Über
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 16,400+, and has 60 offices in 20 countries within key global markets.
Role: Senior Data Engineer
Challenge Statement:
Design and develop a scalable, robust, and secure data platform that seamlessly ingests, processes, and manages complex financial data across diverse sources using Databricks Lakehouse architecture. The solution must enable efficient implementation of the medallion data architecture, support real-time streaming ingestion via Kafka, and facilitate data democratization through well-designed APIs and data pipelines. Additionally, it should promote best practices in data modeling, testing, and CI/CD, while ensuring compliance, high availability, and performance to meet enterprise and domain-specific requirements in the investment banking sector.
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 $125k - $130k/year & benefits (see below).
Major Responsibilities
Building and maintaining data pipelines to ingest data from source systems into Databricks
Designing, Building and maintaining generic frameworks to ingest data through the medallion layers
Working with the core data platform team to integrate the framework with reference architecture
Assisting the data mesh teams with best practices and onboarding to the new framework
Requirements
10+ years of data engineering experience in building OLTP and OLAP databases, both on-prem and in the cloud
5+ years of experience with large scale data processing using SQL, Python, Pandas and Pyspark
5+ years of experience building robust and scalable data pipelines in Databricks Lakehouse platform on any key cloud platform provider, preferably Azure cloud
Experience with implementing Medallion architecture for data processing
Experience with implementing Streaming data ingestion using Kafka
Test driven development experience
Proven experience in solution design and applying best design practices
Data modelling and ER/UML diagram skills
Experience with orchestration/enterprise scheduler platforms like Airflow, Tidal etc..
Experience with implementing API based data integration pipelines
Experience with source control and DevOps for CI/CD
Experience working in Agile/scrum methodologies
Experience with Jira, confluence for project work and documentation
Experience with Service now for incident management
Finance domain knowledge in Investment Banking (Securities, Capital markets) and Security reference data knowledge
Nice to have ADF and SSIS experience
College degree required.
It would be great if you also had:
Detail-oriented, ability to turn deliverables around quickly with a high degree of accuracy
Strong analytical skills, ability to interpret business requirements and produce functional and technical design documents.
Good time management skills – Ability to prioritize and multi-task, handling multiple efforts at once.
Strong desire to understand and learn domain.
Experience in a financial services/banking industry
Ability to work in a fast-paced environment; to be flexible and learn quickly.
Ability to multi-task with attention to detail/ prioritize tasks.
We Offer:
A highly competitive compensation and benefits package
A multinational organization with 60 offices in 20 countries and the possibility to work abroad
Laptop and a mobile phone
10 days of paid annual leave (plus sick leave and national holidays)
Maternity & Paternity leave plans
Flexible hybrid policy
A comprehensive insurance plan including: medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region)
Retirement savings plans
A higher education certification policy
Commuter benefits (varies by region)
Extensive training opportunities, focused on skills, substantive knowledge, and personal development.
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 flat and approachable organization
A truly diverse, fun-loving and global work culture
SYNECHRON'S 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 applicant's gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.
Sprachkenntnisse
- English
Hinweis für Nutzer
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