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mPulse एक हेल्थकेयर टेक्नोलॉजी कंपनी है, जो स्वास्थ्य योजनाओं, स्वास्थ्य प्रणालियों और अन्य स्वास्थ्य सेवा संगठनों के लिए AI-संचालित हेल्थ एक्सपीरियंस एंड इनसाइट्स (HXI) प्लेटफ़ॉर्म विकसित करती है। इसके उत्पादों का समूह प्रेडिक्टिव एनालिटिक्स, संचार, ओम्नीचैनल एंगेजमेंट, हेल्थ पोर्टल, कंटेंट मैनेजमेंट तथा ग्राहक अधिग्रहण और भुगतान उपकरणों को एक साथ लाता है। इससे संगठन अपने संपर्क अभियानों को व्यक्तिगत बनाने, सदस्यों की सहभागिता बढ़ाने, देखभाल संबंधी कमियों को दूर करने और नियामकीय प्रदर्शन को बेहतर बनाने में सक्षम होते हैं। mPulse Medicare, Medicaid, वाणिज्यिक बीमा, TPA, ACO, फार्मेसी तथा जीवन विज्ञान और क्लिनिकल ट्रायल कार्यक्रमों सहित विभिन्न क्षेत्रों के संगठनों को सेवाएँ प्रदान करती है। इसकी क्षमताओं में सटीक लक्ष्यीकरण, उपयोग-प्रबंधन संचार, आधुनिक सदस्य पोर्टल तथा CAHPS और HOS परिणामों के लिए सहायता शामिल है।
Data Engineer II at mPulse (Remote, United States)
Join mPulse as a Data Engineer II building reliable healthcare data systems. Your work will support analytics, product development, and AI/ML initiatives using SQL, Python, dbt, and Airflow.
विवरण
- Build and maintain scalable ETL and ELT pipelines for high-volume healthcare data
- Create and optimize advanced SQL for data transformation, validation, and performance
- Develop, monitor, and troubleshoot Apache Airflow workflows and DAGs
- Expand data platform capabilities for analytics, product functionality, and AI/ML applications
- Create automated frameworks for data profiling, validation, and quality testing
- Improve the performance, reliability, and operational efficiency of production pipelines
- Investigate complex data problems, determine root causes, and deliver scalable fixes
- Present technical findings clearly to both technical and non-technical audiences
- Work closely with Data Operations, Product, Analytics, and Data Science teams
- Collaborate with clinical and analytics partners to turn insights into operational reporting solutions
- Maintain clear documentation for pipelines, data models, and engineering practices
आवश्यकताएँ
- Bachelor’s or master’s degree in computer science, engineering, or a related technical discipline, or equivalent practical experience
- At least three years of professional experience in data engineering or a comparable field
- Advanced SQL skills, including complex queries, data transformation, and performance tuning
- Proficiency in Python for data processing, automation, and system integration
- Practical experience architecting and implementing ETL or ELT pipelines
- Experience with modern data warehouses such as Snowflake, PostgreSQL, Amazon Redshift, or Microsoft SQL Server
- Hands-on experience with workflow orchestration tools, especially Apache Airflow
- Experience developing, testing, and maintaining modular transformations with dbt
- Experience with AWS services including S3, RDS, Lambda, Glue, and DMS
- Experience with version control and collaborative development using platforms such as GitHub or Bitbucket
- Familiarity with CI/CD processes and tools such as Jenkins or GitHub Actions
- Experience contributing to data quality programs
- Understanding of data modeling and warehousing principles, including dimensional modeling
- Strong analytical thinking and problem-solving ability
- Clear written and verbal communication skills
- Ability to work effectively with cross-functional teams
- Careful attention to data accuracy, consistency, and overall quality
- Ability to balance competing priorities while producing high-quality work in a fast-moving environment
- Capacity to sit and stand for extended periods
- Ability to lift 50 pounds
लाभ
- The posting does not specify benefits, perks, or additional compensation.
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