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Tier-1 employer, generalist Data Engineer title, mid-level experience, Bangalore metro increase applicant density.
Strong Life Sciences/FHIR requirement limits transferability across industries.
Multiple mandatory techs (Snowflake, FHIR, cloud, security) and explicit 4+ years makes filters strict.
Develop reporting solutions by integrating multiple data sources into a centralized repository.
Design and implement ETL workflows on cloud SaaS platforms such as Snowflake, including advanced security measures for sensitive data.
Support high availability data warehouse environments with performance monitoring and tuning, including data modeling and PL/SQL design.
4+ years experience in reporting systems, ETL (Snowpipe or Snowpark), data warehousing on Snowflake, FHIR, SQL, cloud development on Azure or AWS, and Python.
Experience with setting up ETL workflows in SaaS platforms like Snowflake, Databricks, or Cloudera.
Knowledge of advanced security for Level 3/sensitive/PII/PHI data, cloud IAM services, security groups, virtual firewalls, and cloud CLI with automated CI/CD using GitLab.
Work Experience Required: 4+ years relevant experience.
Strong domain expertise in Life Sciences and FHIR standards applied to clinical and healthcare data.
Hands-on experience designing scalable data warehouse architectures and security best practices in cloud environments.
Experienced in cloud-based ETL development with automation, performance tuning, and data security in regulated healthcare settings.