New York, NY
Northern New Jersey
San Francisco, CA
Strategize and carry out intricate data analyses utilizing SQL and other tools
Distribution of cloud architecture to back new distributed computing solutions that often span the full array of cloud services. This will consist of migration of active applications and enhancement of new applications using cloud services.
Own the Insights gathered by the formation of advanced technology roadmaps. Share real world implementations and propose new resources that would streamline adoption and drive greater value.
Innovate and engage with key technology stakeholders to create a compelling vision of a data-driven enterprise environment and the impact it will have on their teams, their projects and their outcomes.
Master’s or PhD in Computer Science, Physics, Engineering or Math, with high certifications are highly preferred.
Will consider a bachelor’s degree
Hands on experience leading enterprise-wide data engineering, warehousing and analytics projects
Understanding of database and analytical technologies in the industry including MPP and NoSQL databases, Data Warehouse design, PostgreSQL, BI reporting and Dashboard development
Extensive, demonstrated expertise with Python
Hands on experience with Apache
Demonstrated experience with distributed computing
Expertise with AWS services such as Athena, Glue, Lambda, S3, DynamoDB, NoSQL, Relational Database Service (RDS), Amazon EMR and Amazon Redshift.
Experience with R helpful
Expertise with GCP resources including BigQuery and GCS
Demonstrated industry efficiency in the fields of database, data warehousing or data sciences
Implementing AWS services in a variety of distributed computing, enterprise environments
Note: Qualified candidates will be contacted within 2 business days of application. If an applicant does not meet the above criteria, we will keep your resume on file for future opportunities and may contact you for further discussions.