Description

You will design and implement scalable data solutions integrating enterprise, marketing, and streaming data for real-time insights. You own the architecture of a Snowflake cloud data lakehouse and build pipelines using Matillion and AWS services.

Responsibilities

• Design and implement a scalable Snowflake cloud data lakehouse for structured, semi-structured, and unstructured data.
• Build data products, infrastructure, and ETL/ELT pipelines using Matillion, Redshift, Kinesis, EMR, and Lambda.
• Develop data migration strategies and implement governance policies, procedures, and design patterns.
• Maintain data dictionaries, metadata repositories, and lineage documentation to ensure data integrity.
• Collaborate with data scientists and business stakeholders to define requirements and deliver high-quality solutions.

Required Skills

• 8-10 years of experience in data architecture, including 3-5 years in the healthcare domain.
• Hands-on experience with Snowflake and cloud databases.
• Proficiency with SQL, Postgres, Oracle, and SQL Server.
• Experience building ETL/ELT pipelines and data modeling.
• Practical knowledge of big data technologies including Hadoop, Hive, Spark, and EMR.
• Experience with AWS, Azure, or GCP cloud environments.
• Ability to develop and integrate REST APIs.
• Familiarity with SDLC, Agile, DevSecOps, Git, and Jira.
• Knowledge of data formats such as JSON, HL7, EDI, and XML.

Preferred Skills

• Deep understanding of Data Fabric, Data Mesh, and Data Product architectures.
• Experience with MuleSoft for API integration.

Key Skills

Education

Any Graduate