Job Description

Responsibilities:

• Design and implement large-scale data lake and data warehouse solutions in the cloud.
• Build, optimize, and integrate data systems using modern technologies and frameworks.
• Develop, maintain, and improve ETL pipelines while ensuring data quality and security standards.
• Write and optimize query languages (e.g., SQL, HiveQL, SPARQL) and schema definitions (e.g., DDL, SDL, RDF).
• Leverage scripting languages (e.g., Python, Scala) to build and automate scalable data solutions.
• Architect distributed systems with a focus on storage, compute, database optimization, and data integration techniques (e.g., ETL vs federation).
• Implement and manage CI/CD pipelines for data lake automation using tools like AWS CDK or Terraform.
• Collaborate with stakeholders to create data solutions that support analytics workflows.

Basic Qualifications:

• Preferably 3+ years of experience designing and implementing large-scale data lakes or data warehouses in the cloud.
• Proficiency in query languages (e.g., SQL, HiveQL, SPARQL), schema definition languages (e.g., DDL, SDL, RDF), and scripting languages (e.g., Python, Scala).
• Solid understanding of distributed systems, including storage and compute architecture, database optimization strategies, and join algorithms.
• Experience with CI/CD automation tools for data lakes (e.g., AWS CDK, Terraform).

Preferred Qualifications:

• Hands-on experience with AWS services like Athena, Glue, Lake Formation, Step Functions, Lambda, S3, DynamoDB, RDS, Amazon EMR, or Redshift.
• Familiarity with healthcare data formats like HL7, FHIR, genomics data, or medical imaging standards.
• Knowledge of healthcare infrastructure , including security and data compliance requirements.
• Expertise in database architecture, MPP databases , NoSQL technologies, and BI operations.

Skills and Certifications:

• Amazon Web Services (AWS) : Strong working knowledge of AWS ecosystem tools and services.
• Expertise in data analytics and cloud development .
• Familiarity with security best practices (consider certifications like CISSP or related).
• Advanced knowledge of application development frameworks and programming.

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