At a Glance
- Tasks: Design and develop large-scale data processing software in agile teams.
- Company: Join a leading tech firm focused on innovative data solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for growth.
- Other info: Dynamic team environment with a focus on AI and continuous improvement.
- Why this job: Make an impact with cutting-edge technologies and mentor future talent.
- Qualifications: Experience in Java, Scala, or Python and strong data processing skills.
The predicted salary is between 123750 - 151250 $ per year.
As a Senior Data Engineer (Senior Associate) , you will be responsible or designing and developing data processing and data persistence software components for solutions which handle data at scale.
Working in agile teams, Senior Data Engineers provide strong development leadership and take responsibility for significant technical components of data systems.
You will work within a multi-skilled agile team to design and develop large-scale data processing software to meet user needs in demanding production environments.
Your responsibilities will include
- Working to develop data processing software primarily for deployment in Big Data technologies.
The role encompasses the full software lifecycle including design, code, test and defect resolution.
- Working with Architects and Lead Engineers to ensure the software supports non-functional needs.
- Collaborating with colleagues to resolve implementation challenges and ensure code quality and maintainability remains high. Leads by example in code quality.
- Working with operations teams to ensure operational readiness
- Advising customers and managers on the estimated effort and technical implications of user stories and user journeys.
- Coaching and mentoring team members.
MINIMUM (ESSENTIAL) REQUIREMENTS
- Experience with FHIR
- Strong software development experience in one of Java, Scala, or Python
- Software development experience withdata-processing platforms from vendors such as AWS, Azure, GCP, Databricks.
- Experience of developing substantial components for large-scale data processing solutions and deploying into a production environment
- Proficient in SQL and SQL extensions for analytical queries
- Solid understanding of ETL/ELT data processing pipelines and design patterns
- Aware of key features and pitfalls of distributed data processing frameworks, data stores and data serialisation formats
- Able to write quality, testable code and has experience of automated testing
- Experience with Continuous Integration and Continuous Deployment techniques
- A keen interest in AI Technologies
DESIRABLE REQUIREMENTS
- Experience of performance tuning
- Experience of data visualisation and complex data transformations
- Experience with steaming and event-processing architectures including technologies such as Kafka and change-data-capture (CDC) products
- Expertise in continuous improvement and sharing input on data best practice
- Practical experience with AI technologies, tools, processes and delivery.
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Senior Data Engineer in Halifax employer: Mpa Recruitment
At MPA, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Toronto. Our commitment to employee growth is evident through mentorship opportunities and a focus on technical leadership, ensuring that our team members thrive in their careers while navigating the exciting challenges of the capital markets. With competitive compensation, comprehensive benefits, and a hybrid work model, we provide a supportive environment where talented individuals can make a meaningful impact in the financial services sector.
