
Senior Data Engineer
Job Description
Job Description:
We are seeking a highly skilled Senior Data Engineer with 8+ years of experience to support our client, Scan Health. The ideal candidate will have strong expertise in building scalable data pipelines, working with cloud platforms, and enabling data-driven decision-making in a healthcare environment.
Required Skills:
8+ years of experience in Data Engineering or related field
Strong experience with Python, SQL, and Spark
Hands-on experience with ETL/ELT pipeline development
Experience with cloud platforms (AWS / Azure / GCP)
Proficiency in data warehousing solutions (Snowflake, Redshift, BigQuery, etc.)
Experience with data modeling and schema design
Strong knowledge of Airflow or similar orchestration tools
Experience handling large-scale structured and unstructured data
Familiarity with CI/CD pipelines and DevOps practices
Preferred Skills:
Healthcare domain experience (HIPAA knowledge is a plus)
Experience with real-time data processing (Kafka, Kinesis, etc.)
Exposure to Data Lake architectures
Knowledge of DBT or modern data stack tools
Responsibilities:
Design, build, and maintain scalable data pipelines
Develop and optimize data architectures and data models
Collaborate with data scientists, analysts, and business stakeholders
Ensure data quality, integrity, and governance standards
Implement performance tuning and optimization techniques
Support production issues and provide timely resolutions
Work in an Agile development environment
Soft Skills:
Strong problem-solving and analytical skills
Excellent communication and collaboration abilities
Ability to work independently in a remote setup
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