Senior Data Engineer

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