Introduction to ADVANA
IVERTIX supports many state-of-the-art Data Platforms for its Government and defense clients using cutting edge technologies available today in the cloud. These data platforms enable the organizations to support their mission critical initiatives leveraging advanced data analytics and machine learning capabilities.
Advana is a multi-domain technology platform which offers military and business decision makers, analysts, and users at all levels unprecedented access to authoritative enterprise data and structured analytics in a scalable, reliable, and secure environment. It offers platform-, data analytics-, and data science-as-a-service tools to complete analysis and data exploration and data visualization capabilities. Using one central data platform with right-time data, data tools, and other self-service products, the goal of Advana is to simplify solutions and put the power of analytics in the pocket of every analyst and decision-making authority at the Department of Defense.
The Mid-Level Databricks Administrator – Role Description & Requirements
In an increasingly connected world, massive amounts of structured and unstructured data open up endless opportunities. At Advana, our dashboard developers spend their days unlocking secrets held by data sets and exploring new possibilities presented by the IoT, machine learning, and artificial intelligence advances. They turn complex data sets into valuable information to solve global challenges across private and public sectors — from fraud detection to cancer research to national intelligence — they know, the answers are in the data.
The Databricks administrator will support the administration and daily operations of our Databricks platform. You’ll work closely with delivery teams to understand their customer’s questions and needs, and then help ensure solutions are designed and developed to meet clients’ functional and technical requirements. This role is critical to the Advana platform by providing a full-code centralized workspace for users to explore data and build analytical projects, tools, and models.
What we’re looking for:
- Someone with a solid background developing solutions for high volume, low latency applications and can operate in a fast paced, highly collaborative environment.
- A candidate with distributed computer understanding and experience with SQL, Spark, ETL.
- A person who appreciates the opportunity to be independent, creative and challenged.
- An individual with a curious mind, passionate about solving problems quickly and bringing innovative ideas to the table.
Basic Qualifications:
- Minimum 2+ years of hands-on administration experience, from setting up the Databricks environment to successfully administering it (AWS preferred)
- Experience as the Databricks account owner, managing workspaces, AWS accounts, audit logs, and high-level usage monitoring
- Experience as Databricks workspace admin, managing workspace users and groups including single sign-on, provisioning, access control, and workspace storage.
- Experience managing S3 access across a large user base
- Experience managing cluster and jobs configuration options
- Experience with Databricks security and privacy setup
- Experience troubleshooting end user and platform-level issues
- Experience delivering client presentations and demos
- Experience optimizing usage for performance and cost preferred
- Ability to multitask and reprioritize tasking on the fly according to the needs of a growing platform and its stakeholders
- Strong coding skills in SQL and Python (PySpark) with experience optimizing code
- BA or BS degree
- Ability to obtain a security clearance (Applicants selected may be identified for future situations where a higher-tier clearance is required for access to classified information.
Additional Qualifications:
- Experience with Qlik dashboarding and development functions
- Experience with facilitating BI tool training
- Experience in using DoD Data Management to manipulate and integrate databases with SQL, SAS, or other languages
- Knowledge of Big Data systems, including Hadoop, HDFS, Hive, or Cloudera
- Able to discern stakeholder needs, effectively communicate development plans, and track progress milestones
- Excellent organizational and time management skills to handle multiple tasks simultaneously
- Excellent critical thinking skills to assess numbers, trends, and data to reach new conclusions based on findings
- Excellent quantitative skills, including statistical analysis, process design, and data management