Senior Data Engineer
- Halifax, NS, Canada
Contract
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Job details
- Job type
- Contract
- Apply by
- Experience
- 8+ Years overall IT experience with minimum 5 years of work experience in below tech skills
- Posting language
- English
- Posted
Original job description
Role: Senior Data Engineer
Location: Halifax, Canada - Hybrid
Mode: Contract
Job Requirements
Position Summary: The Senior Data Engineer leads complex data engineering projects, working on designing data architectures that align with business requirements. This role focuses on optimizing data workflows, managing data pipelines, and ensuring the smooth operation of data systems.
Minimum Qualifications:
- 8+ Years overall IT experience with minimum 5 years of work experience in below tech skills
Tech Skills:
- Strong experience in Python Scripting and PySpark for data processing
- Proficiency in SQL, dealing with big data processing
- Experience in AWS cloud platform and its data services (S3, Redshift, Lambda, EMR, Airflow, Glue)
- Expertise in BASH/Shell scripting
- Strong understanding of healthcare insurance domain and experience leading data engineering teams
- Experience in Agile environments.
- Excellent problem-solving skills and attention to detail.
- Effective communication and collaboration skills.
Responsibilities:
- Leads development of data pipelines and architectures that handle large-scale data sets.
- Designs, constructs, and tests data architecture aligned with business requirements.
- Provides technical leadership for data projects, ensuring best practices and high-qualitydata solutions.
- Collaborates with product, finance, and other business units to ensure data pipelines meet business requirements.
- Oversees development of data solutions that enable predictive and prescriptive analytics.
- Ensures the technical quality of solutions, managing data as it moves across environments.
- Aligns data architecture to Healthfirst solution architecture.
More about this job
Responsibilities
Lead the design, development, and testing of data architectures and pipelines for large-scale data, ensuring they align with business and solution architecture requirements. Provide technical leadership, maintain high-quality data solutions across environments, and collaborate with business teams to support predictive and prescriptive analytics.
Requirements
Requires at least 8 years of overall IT experience, including at least 5 years with relevant technologies and experience leading data engineering teams. Candidates should have strong Python, PySpark, SQL, AWS data services, and shell scripting skills, along with healthcare insurance domain knowledge, Agile experience, problem-solving ability, and effective communication skills.
Skills
- Python
- PySpark
- SQL
- AWS
- Amazon S3
- Amazon Redshift
- AWS Lambda
- Amazon EMR
- Apache Airflow
- AWS Glue
- BASH/Shell Scripting
- Data Pipeline Development
- Data Architecture
- Big Data Processing
- Healthcare Insurance
- Agile
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
- Healthcare
- Management & Leadership
Keywords
- Data Engineering
- Python
- PySpark
- SQL
- Big Data
- AWS
- Amazon S3
- Amazon Redshift
- AWS Lambda
- Amazon EMR
- Apache Airflow
- AWS Glue
- BASH
- Shell Scripting
- Data Pipelines
- Data Architecture
- Healthcare Insurance
- Agile
- Predictive Analytics
- Prescriptive Analytics
- Technical Leadership
- Data Processing
- Data Systems
- Solution Architecture