What are the responsibilities and job description for the Data Engineer position at Precision Technologies?
Hiring Now: Senior Data Engineer (8 Years’ Experience) | Healthcare & Cloud Data Solutions
We are looking for a Senior Data Engineer with 8 years of experience to join our team and drive data integration, cloud transformation, and analytics solutions. This role will involve working with large-scale healthcare datasets, building ETL pipelines, and optimizing data storage and processing in cloud environments.
Key Responsibilities:
- Design, develop, and maintain scalable ETL pipelines for structured and unstructured healthcare data.
- Work with EHR, claims data, and patient records, ensuring data security and compliance (HIPAA, GDPR).Optimize data pipelines using Apache Spark, AWS Glue, and Snowflake for real-time analytics.
- Collaborate with Data Scientists, Analysts, and Product Managers to improve data accessibility.
- Implement data governance best practices for metadata management, lineage tracking, and data quality.Develop and maintain cloud-based data solutions on AWS (S3, Redshift, Lambda), Azure, or GCP.
- Perform data modeling and schema design to support analytical workloads.
- Leverage SQL, Python, and Spark to enhance data processing efficiency.
Required Skills & Qualifications:
- 8 years of experience in data engineering, big data processing, or ETL development.
- Strong expertise in Python, SQL, and Apache Spark for large-scale data processing.
- Experience with AWS (S3, Glue, Redshift, Lambda), Azure Synapse, or GCP BigQuery.
- Deep understanding of healthcare data (EHR, HL7, FHIR, Claims Processing).
- Hands-on experience with Snowflake, Databricks, or Kafka for real-time streaming.Knowledge of data governance, security, and compliance (HIPAA, SOC2, GDPR).
- Experience in building data pipelines, automation, and CI/CD for data workflows.
- Familiarity with data visualization tools (Tableau, Power BI) is a plus.Why Join Us?
- Work on cutting-edge healthcare data solutions impacting millions of lives.
- Flexible hybrid/remote work options.
- Opportunity to work with modern data stacks and cloud technologies.
Collaborative and growth-oriented engineering culture.If you are passionate about building scalable, high-performance data platforms, apply now or DM me for more details!
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