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Data Architect
3 months ago
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