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Data Engineer
Data EngineerCognizant • Toronto, ON, Canada
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Data Engineer

Data Engineer

Cognizant • Toronto, ON, Canada
30+ days ago
Job type
  • Full-time
Job description

As an Azure Databricks Developer , you will design, develop, and maintain solutions using Databricks SQL, Databricks Workflows, and PySpark. You will collaborate with cross-functional teams to deliver innovative projects in a hybrid work environment. Leveraging your 8 to 12 years of experience, you will ensure high-quality, scalable solutions. Experience in the Cards and Payments domain is a plus. This role offers day shifts with no travel required.

In this role, you will :

  • Develop and maintain scalable data processing solutions using Databricks SQL and PySpark to enhance data-driven decision-making.
  • Collaborate with cross-functional teams to design and implement efficient workflows using Databricks Workflows ensuring seamless integration with existing systems.
  • Analyze complex data sets to identify trends and insights that drive business growth and improve operational efficiency.
  • Optimize data pipelines for performance and reliability ensuring data accuracy and availability for stakeholders.
  • Provide technical expertise and guidance to junior developers fostering a culture of continuous learning and improvement.
  • Participate in code reviews and contribute to the development of best practices and coding standards.
  • Troubleshoot and resolve technical issues ensuring minimal disruption to business operations.
  • Engage with stakeholders to gather requirements and translate them into technical specifications and actionable plans.
  • Contribute to the development of data governance policies and procedures ensuring compliance with regulatory requirements.
  • Lead initiatives to improve data quality and integrity enhancing the overall value of the companys data assets.
  • Collaborate with domain experts in Cards and Payments to develop solutions that meet industry-specific needs and challenges.
  • Support the deployment of data solutions in a hybrid work model balancing remote and on-site collaboration effectively.

We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 4 days a week in a client or Cognizant office in Toronto, ON . Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

What you need to have to be considered

  • Possess strong expertise in Databricks SQL Databricks Workflows and PySpark with a proven track record of successful project delivery.
  • Demonstrate experience in the Cards and Payments domain with the ability to apply domain knowledge to technical solutions.
  • Exhibit excellent problem-solving skills and the ability to work independently and as part of a team.
  • Show proficiency in data analysis and the ability to derive actionable insights from complex data sets.
  • Have strong communication skills with the ability to convey technical concepts to non-technical stakeholders.
  • Display a commitment to continuous learning and staying updated with the latest industry trends and technologies.
  • Demonstrate a proactive approach to identifying and addressing technical challenges and opportunities for improvement.
  • We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.

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    Data Engineer • Toronto, ON, Canada

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