Synechron

Synechron

Senior Data Engineer

Mississauga, ON · Senior

Sponsorship not specifiedDetected 13 days ago
PythonSQLSnowflakeDatabricksAzureCI/CDDevOpsKafkaData EngineeringData ScienceResearchCommunicationCollaborationProblem SolvingMentoringUnderwriting

About the role

  • 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 17,000+, and has 57 offices in 22 countries within key global markets.
  • Additional Information* The base salary for this position will vary based on geography and other factors.

Responsibilities

  • Design, develop, and maintain scalable and efficient data pipelines using Snowflake, Pyspark, and SQL.
  • Manage and coordinate release processes for data pipelines and analytics solutions.
  • Monitor, troubleshoot, and optimize the performance of data systems.
  • Maintain documentation of data architecture, pipelines, and processes.
  • 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.
  • Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions.
  • 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.
  • 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 Snowflake, 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.
  • 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.

Nice to have

  • 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.
  • Preferred, but not required:

Compensation

  • With top clients to boast about, Synechron has a global workforce of 17,000+, and has 57 offices in 22 countries within key global markets.
  • 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 $105k - CAD $120k/year & benefits (see below).

Benefits

  • 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.
  • A higher education certification policy.
  • 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 empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.
  • Flexible hybrid policy.

Company info

  • Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an

Equal opportunity

  • equal opportunity workplace and is an affirmative action employer.
  • We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company.

This listing is sourced directly from Synechron's careers page and normalized into a canonical job model.