“Data Ingestion Engineer"
- Toronto, ON, Canada
Contract
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Job details
- Job type
- Contract
- Apply by
- Work location
- Work Style: Hybrid ,3 days in office
- Experience
- 5+ years of prior experience in data operations or development role (e-g ETL, Data Warehouse) with 2+ years of recent development experience in IDMC, MS-Azure and Data bricks
- Posting language
- English
- Posted
Original job description
Brainhunter is currently seeking the services of a “Data Ingestion Engineer” for a contract opportunity with one of our Valued Clients.
Work Style: Hybrid ,3 days in office
Location city(s): Toronto/London(Ontario)
End Date: 3 months duration
Reliability Clearance required
Any specific tools/skillset:
- IDMC Data pipelines, Informatica, MS Azure, Databricks, Python
- 5+ years of prior experience in data operations or development role (e-g ETL, Data Warehouse) with 2+ years of recent development experience in IDMC, MS-Azure and Data bricks
- Demonstrated experience in designing and implementing data ingestion systems using MS-Azure /Databricks
- Experience in Kafka, CI/CD and CDC tools preferred
- Solid programming experience with Python or SQL
- Experience in setting up monitoring and controls for MS Azure data pipelines (prior experience with Data warehousing/ other data technologies is accepted)
- Strong knowledge in service management including incident and change management procedures.
Skills and Attributes:
- Problem-solving skills and the ability to trouble shoot complex issues.
- Contributing to positive team culture and promoting common goals, team success and business outcomes
- Valuing and appreciating different views and bring in collaborative approach to achieving consensus.
- Encourages inclusivity and a sense of unity within all operational areas of Canada Data team.
Role profile description:
As a Data Ingestion Engineer, you will join a dynamic and high-performing Canada Life Data team dedicated to providing Data and AI solutions by ensuring the robustness, scalability, and reliability of data ingestion systems within our organization. Your key focus will be on designing, implementing, and maintaining the pipelines necessary for efficient and seamless data ingestion from various sources into our data platforms. You will partner with cross functional teams, enterprise, and portfolio architects to enhance operational performance, trouble shoot issues, and implement best practices for data reliability.
Key Responsibilities:
- Design, develop, test, and support end-to-end ingestion pipelines using Informatica IDMC in MS Azure data platform that supports the consumption of structured and unstructured data from various sources with the use of Azure Data Factory and Data Bricks
- Collaborate with cross functional teams to understand data requirements, design efficient data ingestion patterns and workflows.
- Implement and maintain controls and alerts to monitor data pipelines to proactively identify data related issues. Ensure data quality and integrity is maintained across the pipelines.
- Collaborate with support teams to triage incidents to quickly resolve major incidents, system outages or disruptions.
- Automate processes to support smooth operation of data pipelines to improve reliability, efficiency, scalability using the MS Azure tools.
- Conduct performance and capacity assessments, identify bottlenecks, and develop plans to improve performance, and reduce operational cost.
- Focused on implementing data governance and compliance controls, and security measure to protect sensitive data.
- Apply best practices for creation and maintenance of data pipelines including scalability, reusability, and reliability.
- Document system configurations, processes and troubleshooting procedures.
How to Apply:
Online: To apply for this and other suitable exciting opportunities with Brainhunter Systems Ltd., you can apply online through the button on the top right. AI tools may be used for initial screening of applicants. E-mail: Please email Reema at reema.kaur@brainhunter.com with an attached copy of your CV.
Brainhunter is an equal opportunity employer and is committed to providing a workplace free from harassment and discrimination. Brainhunter encourages applications from women, Indigenous peoples, veterans, persons with disabilities, members of visible minorities and persons of all races, ethnic origins, religions, abilities, sexual orientations, and gender identities and expressions. We provide accommodation upon request during the recruitment process; please let the job poster know.
We thank all applicants for their interest, however only those candidates selected for Interviews will be contacted.
More about this job
Responsibilities
Design, develop, test, and support end-to-end data ingestion pipelines using Informatica IDMC, Azure Data Factory, and Databricks. Monitor and improve pipeline reliability, data quality, performance, security, and operational support in collaboration with cross-functional teams.
Requirements
Requires at least five years of experience in data operations or development, including two or more recent years developing with IDMC, Microsoft Azure, and Databricks. Candidates should have strong Python or SQL skills, experience building and monitoring Azure data pipelines, and knowledge of service management; Kafka, CI/CD, and CDC experience are preferred.
Skills
- Informatica IDMC
- Microsoft Azure
- Databricks
- Python
- SQL
- Data Ingestion
- Data Pipelines
- Azure Data Factory
- ETL
- Data Warehousing
- Kafka
- CI/CD
- Change Data Capture
- Data Quality
- Incident Management
- Troubleshooting
Visa sponsorship
Not detected in the job text
Hiring contact
Reema Kaur
Hiring contact email
reema.kaur@brainhunter.com
Categories
- Data & Analytics
- Technology
- Software
- Engineering
Keywords
- Informatica IDMC
- Microsoft Azure
- Databricks
- Python
- SQL
- Azure Data Factory
- Data Ingestion
- Data Pipelines
- ETL
- Data Warehousing
- Kafka
- CI/CD
- Change Data Capture
- Data Operations
- Data Quality
- Data Governance
- Data Security
- Monitoring
- Incident Management
- Change Management
- Troubleshooting
- Performance Assessment
- Capacity Planning
- Structured Data
- Unstructured Data
- Reliability Clearance