Cloud Data Engineer

Cloud Data Engineer – 5 Open roles
Remote
JD:
Minimum of 6+ years of experience as a Cloud Data Engineer.
Hands-on experience with Databricks, Azure Cloud data tools (ADF, SHIR, Logic Apps, ADLS Gen2, Blob Storage), Apache Spark, PySpark and Snowflake.
Experience leading or participating in enterprise data warehouse modernization initiatives, migrating workloads from SQL Server, Oracle, Teradata, or other on-prem platforms to cloud-based data platforms.
Experience with Delta Lake and Lakehouse architectures and optimization techniques.
Strong experience in ETL development using on-premises databases and ETL technologies.
Experience with Python or other scripting languages for data processing.
Advanced SQL development and performance tuning experience.
Experience writing complex stored procedures, views, and ETL transformations
Experience with GitHub branching, pull requests, and GitHub Actions
Experience with code reviews and engineering best practices.
Experience implementing automated testing and data quality frameworks.
Experience working within Agile delivery methodologies.
Ability to adapt to new technologies and learn quickly.
Experience using AI-assisted development and automation tools to improve data engineering efficiency and productivity.
Excellent analytical, problem-solving, communication, and stakeholder management skills.
Demonstrated ability to work independently, manage ambiguity, and deliver high-quality solutions.
Demonstrated ability to work within tight deadlines and effectively raise critical issues.
Ability to travel, if needed, based on business needs and permissible travel conditions.

Preferred Qualifications:
Experience with other cloud platforms and data solutions.
Experience with data modeling and database design.
Experience implementing Bronze/Silver/Gold (Medallion) architecture patterns.
Experience designing scalable solutions.
Knowledge of data governance and data quality best-practices.
Experience with development in Snowflake for data engineering and analytics workloads.
Experience with healthcare payer data domains including Claims, Membership, Enrollment, Provider, Clinical, and Financial data.
Experience with Airflow or other orchestration frameworks.
Experience with performance optimization in Databricks and Snowflake.
Certification in Azure or Databricks.