Data Engineer I
Location: Remote/Hybrid
Experience: 4-7 Years
Employment Type: Full-Time
To be deployed at Canadian well known company
Role Overview:
As a member of the Data Engineering team you will utilize DevOps principles to evaluate current and new solutions, discover, evaluate, and provide Data engineering support to EMR platforms. Your contributions will directly impact our ongoing pursuit to enhance our infrastructure and data initiatives to provide real time health alerts of our service to be used by our frontline and support teams to quickly identify problems and in turn help reduce mean time to repair and provide after action reports which will enhance the understanding of the health status of our services.
Key Responsibilities:
- Willingness to learn and become an expert in new technologies
- Leading, inspiring and supporting team members to drive high performance and team engagement
- Collaborating and fostering strong working relationships with internal and external stakeholders
- Providing support to our internal customers through the design and implementation of solutions.
- Working closely with ours and other teams to ensure requirements are understood and delivered
- Helping develop and drive automation opportunities, both on various databases and AWS side
- Known for effective time management and ability to work independently and with a team
- Research, analytical and problem solving skills
Skills & Qualifications:
- Experience with DB technologies like Oracle, MySQL, MSSQL, MongoDB
- Expertise with the internals of a distributed compute engine (Spark/PySpark – Preferred, Presto, or Flink/Beam – also Preferred)
- Some experience in SQL, Stored Procedures, Data Modelling
- Experience with cloud infrastructure (any one of GCP and/or AWS with preference to GCP)
- Some experience with Terraform coding
- Modern Big-Data storage technologies (Iceberg – Preferred, Hudi, Delta)
- Moderate experience with GCP services, specifically DB related, like BigQuery, Cloud Storage, Cloud Dataflow, and Dataproc
- Expertise with Data Analytics
- Strong sense of business ownership and customer focus
- Advanced oral and written English language and communication skills
- Experience in query optimization, resource allocation and management, and data lake performance (Presto, SQL)
- Jira, Confluence, Jenkins
- Background and practical experience in statistics and/or computational mathematics (Bayesian and Frequentist approaches, NumPy, PyMC3, etc.)
- Some experience with AWS services, specifically DB related, like DMS, Glue, Athena, Textract, Linux RHEL and CentOS scripting.
What You Will Get?
- Competitive compensation and benefits
- Opportunity to work on enterprise-grade projects with leading clients
- A collaborative, learning-focused culture
- Flexible work environment and growth opportunities
How to Apply:
Interested candidates are invited to submit their resume, portfolio, and a cover letter explaining their suitability for the role to hr@servoedge.com with the subject line: Application for Data Engineer I – [Your Name] or apply here.
