Data Engineer

Synechron•Mississauga, ON

4d•CA$110,000 - CA$125,000•Hybrid

About The Position

We are seeking a skilled Data Engineer with expertise in Databricks, Python, Pyspark, SQL, and Release Management to join our dynamic team. The ideal candidate will have a strong background in the banking domain and will be responsible for designing, developing, and maintaining robust data pipelines and systems to support our banking operations and analytics.

Requirements

Proven experience as a Data Engineer or in a similar role with a focus on Databricks, Python, Pyspark, and SQL.
Strong understanding of data warehousing concepts and cloud data platforms, especially Snowflake.
Hands-on experience with release management, deployment, and version control practices.
Solid understanding of banking and financial services industry data and compliance requirements.
Proficiency in Python scripting and Pyspark for data processing and automation.
Experience with ETL/ELT processes and tools.
Knowledge of data governance, security, and privacy standards.
Excellent problem-solving and analytical skills.
Strong communication and collaboration abilities.
Good Knowledge in Azure and Databricks in highly preferred.
Knowledge of Apache Kafka or other streaming technologies.
Familiarity with DevOps practices and CI/CD pipelines.
Prior experience working in the banking or financial services industry.

Nice To Haves

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.

Responsibilities

Design, develop, and maintain scalable and efficient data pipelines using Databricks, Python, Pyspark, and SQL.
Write optimized and complex SQL queries to extract, transform, and load data.
Develop and implement data models, schemas, and architecture that support banking domain requirements.
Collaborate with data analysts, data scientists, and business stakeholders to gather data requirements.
Automate data workflows and ensure data quality, accuracy, and integrity.
Manage and coordinate release processes for data pipelines and analytics solutions.
Monitor, troubleshoot, and optimize the performance of data systems.
Ensure compliance with data governance, security, and privacy standards within the banking domain.
Maintain documentation of data architecture, pipelines, and processes.
Stay updated with the latest industry trends and incorporate best practices.

Benefits

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.