Senior Data Engineer

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 14,500+, and has 58 offices in 21 countries within key global markets.

Our challenge

We are seeking a hands-on, highly skilled, and motivated individual to join our dynamic team as a Senior Data Engineer. As a key member of our data engineering team, candidate will play a crucial role in the development and implementation of GAM’s Data Platform. As the successful candidate will partner with key business stakeholders, understand the business drivers, and focus on designing, implementing, and maintaining robust data processing pipelines to support our organization’s data needs and advance our capabilities pertaining to data engineering, BI, Machine Learning and AI.

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 Toronto, ON is CAD $120k - CAD $125K/year & benefits (see below).

The Role

Responsibilities:

• Work with business stakeholders and cross-functional teams to understand data requirements and deliver scalable data solutions.
• Design, develop, and maintain robust ETL processes to extract, transform, and load data from various sources into our data platform.
• Build large-scale batch and event-driven data pipelines using cloud and on-premises hybrid data platform topology.
• Work closely with data architects to review solutions and data models and ensure adherence to data platform architecture guidelines and engineering best practices.
• Take ownership of end-to-end deliverables and ensures high quality software development while fulfilling all operational and functional requirements in a timely manner.
• Implement and enforce data quality standards and best practices while collaborating with data governance teams to ensure compliance with data policies and regulations.
• Optimize data integration workflows for performance and reliability.
• Troubleshoot and resolve data integration and data processing issues.
• Leverage best practices in continuous integration and delivery using DataOps pipelines.
• Apply design-thinking and agile mindset in working with other engineers and business stakeholders to continuously experiment, iterate and deliver on new initiatives.
• Stay informed about emerging technologies and trends in data engineering domain.
• Lead, mentor, and inspire a team of data engineers to achieve high performance levels.

Requirements:

You are:

• 5-7 years of experience building batch and realtime data pipelines leveraging big data technologies and distributed data processing using Spark, Hadoop, Airflow, NiFi, and Kafka.
• Proficiency in writing and optimizing SQL queries and at least one programming languages like Python and/or Scala.
• Experience with cloud-based data platforms (Snowflakes, Databricks, AWS, Azure, GCP)
• Expertise using CI/CD tools and working with docker and Kubernetes platforms.
• Experience with following DevOps and agile best practices.
• Experience with data modelling tools and methodologies.

It would be great if you also had:

• Experience with OpenShift, S3, Trino, Ranger and Hive
• Knowledge of machine learning and data science concepts and tools.
• Knowledge with BI & Analytics tools such as Tableau and Superset.

We can offer you:

• 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 to fit your schedule  
• 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.

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