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Project Engineer I
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Construction Contracts Administrator
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Data Engineer 1/Data Analytics Support - Fort Collins, United States - W3Global
Description
Position Title:
Data Engineer 1
salary $125k to $135K
Work Site Location
Fort Collins, CO REMOTE)
Anticipated Start Date
11/10/2023
Immediate
Employment Term
☒ Full Time
Anticipated Duration (if Other Than Fulltime)
1 year
Required Work Authorization
US Citizen
Clearance
☒ Yes
Clearance Level
MBI
Background
FPAC has established a centralized analytics team, Office of the Assistant Chief Data Officer, (ACDO) to help establish a framework for long-term adoption and management of analytics across the mission area.
The establishment of ACDO has assessed organizational structures as well as the data infrastructure to provide insight into how FPAC can better position itself for long-term, sustained success in the areas of data & analytics.
ObjectivesThe Team Member will provide data engineering services for the following:
Support the modernization effort migrating legacy data to EDAPT and other cloud solutions delivering data analytics solutions more effectively and efficiently
Support business users and data analysts' day to day uses of the developed analytical products such as dashboards and tabular reports
Support and enhance existing analytical products based on current technologies such as Tableau and Oracle Business Intelligence Enterprise Edition (OBIEE) / Oracle Analytics Server (OAS), and to support and leverage any future technologies but not limited other visualization tools or any other data query tools such as AWS Athena, AWS Redshift Spectrum as part of our modernization
The Data Engineer Level-1 is responsible for identifying relevant data sources, collecting and organizing structured and unstructured data, build data systems and pipelines, and generating insights and reports.
Processing, cleansing & verifying of data
Analyzing data for trends and patterns and to find answers to specific questions
Setting up data infrastructure, data catalogs, and troubleshooting
Develop, implement, and maintain databases for features
Assess quality of data and remove or clean data
Generating information and insights from data sets and identifying trends and patterns
Preparing reports for executive and project teams
Create and manage visualization of data
Mapping data sources:
An understanding of where data is stored and maintained
Defining logical integrative views of data: These views will draw together data from across the domains
Some views will use a database of extracted data - others will bring together data in "near real time."
Documenting existing data movement:
record how data movement is happening
Coordinate efforts and foster consistency while documenting the frequency of movement, the source and destination of each step, how the data is transformed as it moves, and any aggregation or calculations
Required
3+ Years USA Citizenship
Strong mathematical & numeracy skills
Intermediate understanding of databases such as SQL Server, Informix, and other Cloud solutions such as PostgreSQL, Cloudera Linux
Understanding of reporting & data visualization tools such as OBIEE and Tableau.
Impala - Understanding of website scripts such as JSON
Understanding and Experience of ETL framework and ETL tools similar to DataStage, Glue ETL
Proficiency in Python
Excellent analytical skills
Strong attention to detail
Presentation skills - ability to write and speak clearly to easily communicate complex ideas in a way that is easy to understand
Problem solving skills
A good communicator with effective stakeholder management & conflict resolution skills
Preferred
Certification in data engineering or related areas (AWS or Azure)
Experience with additional databases, cloud platforms, and virtualization technologies.
Familiarity with containerization and orchestration tools like Docker and Kubernetes.
Experience in testing web services and APIs.
Understanding of DevOps principles and practices.
Behavioral Traits
Ownership and accountability for actions.
Demonstration of honesty, integrity, and ethical conduct.
Focus, dedication, and maintaining high standards of work.
Collaboration and finding common ground to achieve goals.
Professionalism, respect, and conscientiousness in the workplace.
Meeting or exceeding expectations and requirements.
Self-reliance and personal responsibility.
Positive work environment, teamwork, and support.
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