athenahealth is hiring Senior Data Engineer – SMTS in Bengaluru. Candidates with 5–9 years of experience and a Bachelor’s degree in a quantitative discipline are encouraged to apply.
athenahealth – Senior Data Engineer – SMTS Details
| Hiring Organization | athenahealth |
| Job Role | Senior Data Engineer – SMTS |
| Qualification | Bachelor’s degree in a quantitative discipline |
| Experience | 5–9 years of experience |
| Salary | 5 to 10 LPA |
| Work Location | |
| Application Start Date | |
| Apply before | Apply Before Application Closes |
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Description
Join us as we work to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all.
athenahealth is a progressive & innovative U.S. health-tech leader, delivering cloud-based solutions that improve clinical and financial performance across the care continuum. Our modern, open ecosystem connects care teams and delivers actionable insights that drive better outcomes. Acquired by Bain Capital in a $17B deal. We foster a values-driven culture focused on flexibility, collaboration, and work-life balance.
Headquartered in Boston, we have offices in Atlanta, Austin, Belfast, Burlington, and in India: Bangalore, Chennai and Pune.
Position Summary: We’re looking for a Senior Data Engineer to join our Microservices Data Ingestion Platform (MDIP) team within the Datalake Zone in Bangalore. This team builds and maintains the data infrastructure that enables seamless data flow from microservices datastores to our datalake. We specialize in continuous data streaming, ETL/ELT processes, and ensuring data quality and reliability for downstream analytics and reporting.
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Education, Experience & Skills:
- 5-9 years of experience in data engineering
- Bachelor’s degree or equivalent; quantitative discipline preferred
- Strong programming skills (Java, Python, C#, etc.)
- Familiarity with Unix/Linux, SQL, NoSQL, and big data tools (Kafka, Spark, Cassandra, Elasticsearch)
- Experience with Snowflake or Redshift is a plus
- Knowledge of RESTful APIs and microservices architecture
- Experience with ETL/ELT tools like Airflow, dbt
- Exposure to AWS or private cloud environments
- Understanding of schema evolution and data versioning
Key Responsibilities:
Data Pipeline Development
- Design and maintain scalable data transfer pipelines
- Build Kafka-based streaming pipelines from PostgreSQL RDS to Snowflake
- Optimize S3-based data staging and transformation
- Configure Snowpipe for automated data loading
- Implement validation, alerting, monitoring, and error handling
- Explore new technologies for scalable, high-performance solutions
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Microservices Data Ingestion
- Collaborate with microservices teams to understand schemas and integration needs
- Design low-impact data extraction strategies
- Implement CDC solutions for synchronization
- Ensure consistency across distributed systems
- Tune Kafka performance and throughput
- Design cost-effective S3 storage with lifecycle policies
- Build automated testing frameworks for pipeline validation
- Ensure compliance with healthcare regulations (HIPAA, etc.)
How to Apply For athenahealth – Senior Data Engineer – SMTS role ?
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