Posted 2 days ago
Data Engineer
@ Tekshapers
Toronto, Ontario
SIGNALS
Requirements summary:
- The ideal candidate will have experience designing and developing large-scale data pipelines, optimizing data workflows, and managing complex data engineering projects.
- Healthcare insurance domain experience and technical leadership skills are highly preferred.
- - Design, build, and test data architectures aligned with business requirements.
- - Collaborate with Product, Finance, and other business teams to understand data requirements.
- Required Technical Skills
- - Strong experience in Python Scripting and PySpark for data processing.
Tools & skills
PythonPySparkSQLAWSData engineeringLeadershipProcess dataAmazon RedshiftEMRApache AirflowAgileProblem solvingCommunication skills
Source and dates
Source type not verified · apify-linkedin
- Employer posting date
- 2026-11-11
- First seen by our source
- 2026-11-14
- Source record updated
- 2026-11-14
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Tekshapers
| Field | Value |
|---|---|
| Open jobs on Jobsy | 11 |
Job description
Job Description
- We are looking for an experienced Data Engineer nwith strong expertise in Python, PySpark, SQL, and AWS cloud services. The ideal candidate will have experience designing and developing large-scale data pipelines, optimizing data workflows, and managing complex data engineering projects. Healthcare insurance domain experience and technical leadership skills are highly preferred.
- ### Key Responsibilities
- - Lead the development and implementation of data pipelines and architectures to handle large-scale datasets.
- - Design, build, and test data architectures aligned with business requirements.
- - Provide technical leadership on data engineering projects, ensuring best practices and high-quality solutions.
- - Collaborate with Product, Finance, and other business teams to understand data requirements.
- - Develop data solutions that support predictive and prescriptive analytics.
- - Ensure data quality, consistency, and smooth data movement across different environments.
- - Optimize data workflows and improve overall data processing performance.
- - Align data architecture with Healthfirst solution architecture.
- Required Technical Skills
- - Strong experience in Python Scripting and PySpark for data processing.
- - Proficiency in *SQL* and large-scale data processing.
- - Hands-on experience with **AWS Cloud Services**, including:
- - Amazon S3
- - AWS Redshift
- - AWS Lambda
- - Amazon EMR
- - AWS Glue
- - Apache Airflow
- - Expertise in BASH/Shell Scripting.
- - Strong understanding of data engineering concepts, data pipelines, and data architecture.
- Domain & Other Requirements
- - Strong understanding and experience in the **Healthcare Insurance domain**.
- - Experience leading data engineering teams.
- - Experience working in Agile environments.
- - Excellent problem-solving, analytical, and communication skills.
- - Ability to collaborate effectively with technical and business stakeholders.
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