At a Glance
- Tasks: Lead complex data engineering projects and design data architectures that meet business needs.
- Company: Join a forward-thinking healthcare tech company focused on innovation.
- Benefits: Attractive salary, health benefits, remote work options, and opportunities for professional growth.
- Other info: Dynamic team environment with excellent career advancement opportunities.
- Why this job: Make a real impact in healthcare by optimizing data workflows and leading innovative projects.
- Qualifications: 8+ years of IT experience with strong skills in Python, SQL, and AWS.
The predicted salary is between 108000 - 132000 $ per year.
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 a minimum of 5 years of work experience in the below tech skills.
Tech Skills:
- Strong experience in Python Scripting and PySpark for data processing.
- Proficiency in SQL, dealing with big data processing.
- Proven experience in data processing for data lake in Iceberg format, with a strong understanding of architecture.
- Experience in AWS Glue jobs.
- Experience in AWS cloud platform and its data services (S3, Redshift, Lambda, EMR, Airflow, Postgres, SNS, Event bridge).
- Expertise in BASH/Shell scripting.
- Strong understanding of healthcare finance systems 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-quality data 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.
Work Experience: 7-10 Years
Lead Software Engineer in Halifax employer: Virtusa
Kinetica is an exceptional employer that fosters a collaborative and innovative work culture, where your expertise in data modeling and analytics will be valued and utilized to drive impactful solutions. Located in a vibrant tech hub, Kinetica offers competitive benefits, opportunities for professional growth, and the chance to work with cutting-edge technology in an Agile environment, making it an ideal place for those seeking meaningful and rewarding employment.
