Technical Skills

Proficiency in Databricks, Apache Spark, and AWS services (e.g., S3, Redshift, Glue, EMR, Lambda).
Strong experience in data vault methodologies and designing scalable, secure, and performant data architectures.
Master proficiency in data sharing processes, data access, and data taxonomy.
Strong programming skills in Python, Scala, or Java.
Experience with relational and NoSQL databases, data warehousing, and ETL processes.
In-depth knowledge of AWS cloud architecture and services.
Experience in optimizing data processing pipelines for performance, scalability, and cost-efficiency.

Functional Skills

Excellent analytical and problem-solving skills, with the ability to troubleshoot and resolve complex data issues.
Strong communication and collaboration skills, with the ability to work effectively in a team environment.
Experience in the Pharma or Medical devices domain, with an understanding of industry-specific data needs and regulations.
Ability to work in an agile methodology, with a focus on delivering high-quality solutions.

Qualifications

Minimum of 10 years of experience in data architecture, focusing on Databricks and AWS services.
Proven ability to design and implement data solutions that align with organizational strategies.
Familiarity with big data technologies and frameworks.
Experience in machine learning concepts and frameworks.
Preferred certifications: AWS Certified Solutions Architect, Databricks Certified Data Engineer, or similar certifications.

Thanks

Parkavi Gokul

Recruitment Manager

Parkavi@method-hub.com

Method-Hub

Method-Hub Technologies

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