Software Development Engineer
Health Catalyst (company site, opens in a new tab)2–4 yrsHyderabadOn-siteDirect career pageEst. 8–18 LPA
Posted on 31 Aug
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain scalable ETL/ELT pipelines and data warehouse solutions on Snowflake for analytics and reporting.
- Build, optimize, and manage cloud data engineering workflows using AWS services (Glue, Lambda, SNS, S3), Kafka, and orchestration tools like Airflow or Step Functions.
- Ensure data quality, reliability, and troubleshoot production issues in data pipelines while collaborating with cross-functional teams for requirements and implementation.
Minimum Requirements
- 2–4 years of hands-on experience in software development or data engineering with ETL/ELT and data warehousing.
- Proficiency in SQL, Python, and strong familiarity with AWS Glue, Lambda, SNS, S3, Snowflake (RBAC, ABAC, Snowpipes, Dynamic Tables), Kafka (basic-medium), and Airflow.
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field.
- Work Experience Required: 2–4 years relevant experience.
Ideal Candidate Profile
- Operates effectively in fast-paced, collaborative engineering environments handling cloud-based data integration and scalable data pipelines.
- Strong foundation in both development and operational aspects of large-scale data workflows and cloud platforms, especially AWS and Snowflake.
- Demonstrates analytical and problem-solving skills focused on data platform performance, reliability, and automation.