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Synechron

Senior Data Engineer

Reposted 11 Hours Ago
Be an Early Applicant
In-Office
Mississauga, ON
Mid level
In-Office
Mississauga, ON
Mid level
As a Senior Data Engineer, you will design and maintain data pipelines, optimize data models, and collaborate with teams to support analytics initiatives, using Azure and Databricks.
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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. 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.

  

Our challenge

We are seeking a skilled Data Engineer to join our dynamic team. The ideal candidate will possess a strong background in data modeling, SQL, ETL processes, and practical experience working within an Azure cloud environment, particularly leveraging Databricks. In this role, Candidate will be instrumental in designing, developing, and maintaining scalable data pipelines, contributing to our data strategy initiatives, and enabling insightful analytics.

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 $90k – CAD $100k/year & benefits (see below).

The Role

Responsibilities:

  • Design, develop, and optimize data models and schemas to effectively support business requirements.  
  • Build, implement, and maintain efficient ETL pipelines utilizing Spark, Databricks, and other relevant tools.  
  • Develop complex SQL queries, stored procedures, and functions to extract, transform, and load data from multiple sources.  
  • Collaborate with data analytics, data science, and business teams to gather requirements and deliver tailored data solutions.  
  • Leverage Azure Data Services including Azure Data Lake, Azure Data Factory, and Azure Databricks to create scalable, reliable data architectures.  
  • Ensure adherence to data quality, governance, security, and compliance standards across all data processes.  
  • Continuously monitor, troubleshoot, and optimize data pipelines for performance, scalability, and robustness.  
  • Document data architecture, workflows, and procedures; participate in code reviews and establish best practices.

Requirements:

  • 3 to 6 years of experience in data engineering with demonstrated expertise in data modeling and SQL.  
  • Proven experience in developing ETL solutions and orchestrating data pipelines.  
  • Hands-on experience working with Azure cloud platform, specifically Azure Data Factory, Data Lake, and Databricks.  
  • Strong programming skills in Spark, Python, or Scala for data processing tasks.  
  • Familiarity with data governance, security protocols, and regulatory compliance requirements.  
  • Excellent problem-solving skills, keen attention to detail, and ability to troubleshoot complex data issues.  
  • Ability to work independently and collaboratively within a team environment.  
  • Bachelor’s degree in Computer Science, Information Technology, or related field.

Preferred, but not required:

  • Certifications in Azure Data Services or Databricks are a plus.  
  • Experience working with BI tools and report generation frameworks.  
  • Knowledge of other cloud platforms (AWS, GCP) is advantageous.  
  • Experience with REST APIs integration.  
  • GraphQL experience would be a nice-to-have. 

We offer:

  • A multinational organization with 60 offices in 20 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.

S​YNECHRON’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.

Candidate Application Notice

Top Skills

Azure
Azure Data Factory
Azure Data Lake
Databricks
ETL
Python
Scala
Spark
SQL

Synechron Toronto, Ontario, CAN Office

161 Bay St, Toronto, ON , Canada, M5J 2S1

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