Senior Data Engineering Developer (8 Month-Fixed-Term)

Interac Corp.

$125K — $145K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of hands-on experience in data or software engineering.
  • University degree in Computer Science or equivalent experience.
  • Strong knowledge of data structures, algorithms, and data modeling.
  • Experience with SQL, RDBMS (Oracle), and Big Data technologies (Hive, Impala).
  • Familiarity with Apache Spark, particularly PySpark, is preferred.
  • Demonstrated ability to work within Agile environments and strong problem-solving skills.
  • Excellent communication skills to convey technical concepts to diverse audiences.

Responsibilities

  • Design and develop scalable processes for high volume data ingestion and processing.
  • Collaborate with teams to create data fulfilment strategies and pipelines.
  • Maintain and enhance data engineering architecture and pipelines.
  • Investigate and adopt new technologies to foster innovation.
  • Establish standards for data processes and automate routine tasks.
  • Monitor data flows to ensure integrity and performance, manage on-call support.
  • Document processes and support data transformation testing.

Benefits

  • Generous vacation and wellness days for recharging.
  • Comprehensive employer-paid benefits coverage.
  • Flexible hybrid work model for enhanced work-life balance.
  • 24/7 employee and family assistance program offered free of charge.
  • Charitable donation matching with United Way.
Full Job Description
Who You Will Work With:

The Senior Data Engineering Developer (8 Months Fixed Term Contract) will be responsible for designing, developing, and supporting the implementation of high-quality and sustainable data fulfilment solutions to improve business outcomes. You'll work with several teams to develop and maintain data pipelines to improve workflows and automate processes wherever possible.

What You Will Do:
  • Designing, developing, implementing, and monitoring highly scalable processes to ingest and process high volume transactions while ensuring high performance and quality.
  • Collaborating with various teams to translate business and analytics requirements into a data fulfilment strategy including building data pipelines, data aggregations, infrastructure and tooling to support business initiatives.
  • Overseeing the design and maintenance of data pipelines and contributing to the continual enhancement of the data engineering architecture.
  • Working with other developers, engineers, data scientists, and business stakeholders to continuously explore new capabilities and technologies to drive innovation.
  • Collaborating with the team to meet performance, scalability, and reliability goals.
  • Developing standards for data processes and automating routine tasks while ensuring the timing of automatic jobs do not conflict with application processes.
  • Writing out tests and thorough documentation for processes and tooling.
  • Supporting data transformation testing and production implementation as required.
  • Adapting to working with new technologies and frameworks, sometimes headlining the investigation into their usefulness to the team.
  • Supporting the team with problem analysis and resolution.
  • Management and proactive monitoring of data flows ensuring data integrity and performance.
  • Participating in rotating on-call support.


What You Bring:
  • 5+ years of hands-on experience in data or software engineering.
  • A university degree in Computer Science Engineering or an equivalent combination of education and experience.
  • A solid foundation in data structures, distributed systems, algorithms, data modeling, data pipeline processes, data integration patterns and software design.
  • Eligibility to work for Interac Corp. in Canada in a full-time capacity.
  • Hands on experience with implementing dimensional models in SQL as well as experience with RDBMS (Oracle), BigData (Hive, Impala) environments, Apache Spark framework (PySpark preferred).
  • A demonstration of the Agile mindset, and strong experience in problem-solving within Agile environments.
  • Excellent interpersonal and communication skills with the ability to articulate complex technical concepts to a varied audience.
  • Experience building out a scalable infrastructure to fit the needs of a growing company.
  • Experience with data warehousing, operational data stores, large-scale implementations and ETL/ELT/data streaming processing.
  • Exposure to Big Data technologies including development, performance tuning, and standard operational activities involved.
  • Awareness that security is one of the most critical parts in any data related projects.
  • Experience in data ingestion and processing including Third-Party APIs
  • Experience with Github and CI/CD practices is an asset
  • Strong organization, collaboration and relationship building skills.


What We're Offering:

The hiring range for this position is $125,000 - $145,000,. The exact amount will depend on factors such as skills, experience, and job-related knowledge, but Interac's commitment goes beyond compensation. Our Total Rewards package is designed to support your well-being and future, and includes:
  • Generous vacation and wellness days to help you recharge
  • Comprehensive employer-paid benefits coverage for peace of mind
  • Flexible hybrid work model for better work-life balance
  • Access to a free and confidential 24/7 employee & family assistance program to offer support for you and your immediate family
  • Charitable donation matching with United Way to amplify your impact


Additional Pre-Employment Requirements:

To ensure the integrity of our organization, successful candidates will be required to complete background checks, which may include, Canadian Criminal Credit Check, Canadian ID Cross-Check, Public Safety Verification, 5-year Employment Verification, Education Verification, Credit Check, and Social Media Check.

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