Senior Data Engineer
New
Q
QGendaHealthcare Technology
Applicants for this position must be authorized to work for any employer in the United States (U.S.), including being located in the US.Full-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 5-7+ years
- Required Skills
- PythonSQLCloud ComputingAirflowCI/CDTerraformData modelingdbt
Requirements
- 5-7+ years of experience in data engineering, analytics engineering, or a related field.
- Bachelor’s degree in computing, data engineering, or a related discipline.
- Expertise in distributed data processing, data modeling, and performance tuning.
- Strong proficiency in SQL and Python.
- Experience with cloud platforms such as AWS, GCP, or Azure.
- Experience with data warehouses like Snowflake, Redshift, or BigQuery.
- Experience with orchestration tools like Airflow, MWAA, or Composer.
- Experience with transformation tools like dbt.
- Proficiency with DevOps tools including Git, CI/CD, and Terraform or CloudFormation.
- Ability to work collaboratively, influence architecture, and communicate technical concepts clearly.
- Strong analytical, problem-solving, and debugging skills.
Responsibilities
- Architect, develop, test, and maintain ELT/ETL pipelines and data workflows.
- Implement advanced data processing solutions and observability techniques to ensure data accuracy and reliability.
- Design and refine data models and semantic layers for analytical self-service.
- Build data visualizations and dashboards supporting analytics use cases.
- Apply best practices for version control, documentation, CI/CD, Infrastructure as Code, and data governance.
- Partner with data engineers, DBAs, managers, and stakeholders to deliver data products.
- Provide technical guidance and mentorship to other engineers.
- Optimize data pipelines and warehouse performance for speed, cost, and scalability.
- Design and deliver AI-ready data products suitable for NLP and predictive analytics.
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