Solution Architect - Pharma (Max $105/hr W2)
Global Data & Analytics technology  - Experience in enabling product development through the use of big data analytics and data science solutions and familiarity of pharma functions and processes.Experience in managing application / system changes in accordance with computer system validation, 21 CFR Part 11 and GxP policies.Requirements
Work Experience and Education
An undergraduate or postgraduate degree in computer science, information science, management information systems, a related field, or equivalent experience relevant to this position.
10+ years experience working with structured, semi-structured, and unstructured data.
10+ years IT domain experience in pharmaceutical industry
8+ years experience designing and implementing data solutions on Amazon Web Services (AWS), using product offerings such as: Databricks, Informatica, S3, Athena, Glue, EMR, Lambda, RDS, EC2, DynamoDB, Elasticache, Redshift, Neptune, and Kinesis.
4+ years experience using data management and analysis tools such as Databricks, Informatica, RStudio/Posit, Immuta, and ETL tools like Informatica.
Strong knowledge of AI data preparation and the tools available as well as their implementation and usage.
Deeply passionate about learning and innovating using leading edge and next generation solutions in big data engineering, cloud, and open source.
Sound understanding of various data solution patterns and when to use them. Examples include: ETL/ELT, RDBMS, Data Vault and Data Warehousing techniques, Normalization/De-normalization, Key-Value, In-Memory, Wide Column, Columnar, Graph, Text-Indexing, Vector, Partitioning, Streaming, and Messaging
Strong software engineering and object-oriented programming skills with expertise in SQL, Python, Scala, R, and Java; including open-source frameworks/libraries, such as Spark, Airflow and streaming services.
Strong data architecture, data warehousing, data modeling and data wrangling skills using SQL, Stored Procedures, Oracle, MS SQL Server, PostgreSQL.
Knowledge of traditional big data systems, such as Hadoop, Impala, Sqoop, Oozie, and Cassandra, and Redshift.
Hands on experience with various Business Intelligence tools such as Tableau and PowerBIDeep Databricks and Informatica experience required.