Inficare
Data Architect
Inficare, Corvallis, Oregon, United States, 97333
Data Architect
Location:
Corvallis, OR - 5 Days Onsite Role
Long Term Project
Job Summary
- The Data Architect Engineer will be responsible for designing, developing, and managing activities for the Print Data platform specifically around the Data lifecycle, Data Requirements & Definition, Data Quality, Data Storage and Retention keeping in mind availability, performance, privacy, security & cost.
Years of experience needed
- 10-15+ years of experience and candidate should have experience in Data architecture, Data engineering preferably using Databricks. Should have established/ defined data governance structure for his org/ team. Must have exp in enterprise level data product development
Technical Skills: •Data Engineering knowledge with ETL platforms understanding. •Strong working experience in Data Bricks •Strong in Spark and Python •Strong in SQL/MySQL, Relational data modelling •Strong Notebooks environment experience (Jupyter, Data Bricks) •Fluent in complex, distributed and massively parallel cloud systems (AWS, GCP, AZURE) •Experience with workflow orchestration tools (Airflow, Jenkins) •Basics of AWS/Azure technologies •Proficient in using Git & Tera Forms
Certifications Needed: Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, Data Science, or any other related discipline or commensurate work experience or demonstrated competence. Typically has 10-15 years of work experience, preferably in data analytics, statistical modeling, machine learning, or a related field.
Location:
Corvallis, OR - 5 Days Onsite Role
Long Term Project
Job Summary
- The Data Architect Engineer will be responsible for designing, developing, and managing activities for the Print Data platform specifically around the Data lifecycle, Data Requirements & Definition, Data Quality, Data Storage and Retention keeping in mind availability, performance, privacy, security & cost.
Years of experience needed
- 10-15+ years of experience and candidate should have experience in Data architecture, Data engineering preferably using Databricks. Should have established/ defined data governance structure for his org/ team. Must have exp in enterprise level data product development
Technical Skills: •Data Engineering knowledge with ETL platforms understanding. •Strong working experience in Data Bricks •Strong in Spark and Python •Strong in SQL/MySQL, Relational data modelling •Strong Notebooks environment experience (Jupyter, Data Bricks) •Fluent in complex, distributed and massively parallel cloud systems (AWS, GCP, AZURE) •Experience with workflow orchestration tools (Airflow, Jenkins) •Basics of AWS/Azure technologies •Proficient in using Git & Tera Forms
Certifications Needed: Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, Data Science, or any other related discipline or commensurate work experience or demonstrated competence. Typically has 10-15 years of work experience, preferably in data analytics, statistical modeling, machine learning, or a related field.