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33 Veritas Federal Credit Union Jobs

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    Monster

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      Azure Data Engineer II / III

      Navy Federal Credit Union
      Vienna, VA 22180
      Full-time
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      Job Description

      Job Description YOUR LIFE'S MISSION POSSIBLE You have goals, dreams, hobbies and things you're passionate about. What's Important to You Is Important to Us We're looking for people who not only want to do meaningful, challenging work, keep their skills sharp and move ahead, but who also take time for the things that matter to them-friends, family and passions. And we're looking for team members who are passionate about our mission-making a difference in military members' and their families' lives. Together, we can make it happen. Don't take our word for it. FORTUNE 100 Best Companies to Work ForRegistered ComputerworldRegistered Best Places to Work in IT FORTUNERegistered Best Workplaces for Millennials ForbesRegistered America's Best Employers IND123 Basic Purpose Develop strategies for data acquisition, archive recovery, and database implementation. Responsible for designing, building, integrating data from various resources, and managing big data. Develop and write complex queries, while ensuring they are easily accessible, work smoothly, with the goal of optimizing the performance of Navy Federal's big data ecosystem. Highly skilled and proficient in discipline, considered senior level position. Conduct complex, essential work under minimal supervision and with wide latitude for independent judgment. Individual contributor and mentor to junior staff. Responsibilities bull Provide Business Intelligence (BI) and Data Warehousing (DW) solutions and support by leveraging project standards and leading analytics platforms bull Evaluate and define functional requirements for BI and DW solutions bull Define and build data integration processes to be used across the organization bull Build conceptual and logical data models for stakeholders and management bull Work directly with business leadership to understand data requirements propose and develop solutions that enable effective decision-making and drives business objectives bull Prepare advanced project implementation plans which highlight major milestones and deliverables, leveraging standard methods and work planning tools bull Analyze and validate data accuracy of report results bull Analyze and interpret collected data spotting trends writing reports and recommendations for internal or external clients bull Recognize potential issues and risks during the analytics project implementation and suggest mitigation strategies bull Mentor junior project team members in carrying out analytics project implementation activities bull Prepare high quality project deliverables that are valued by the business and present them in such a manner that they are easily understood by project stakeholders bull Interpret data presented in models, charts, and tables and transform it into a format that is useful to the business and promotes effective decision making bull Use statistical practices to analyze current and historical data to make predictions, identify risks, and opportunities enabling better decisions on plannedfuture events bull Identify improvements to the way in which analytics services an entire function bull Communicate and own the process of manipulating and merging large datasets bull Key point of contact between the data analystdata scientist and the projectfunctional analytics leads bull Apply engineering principles into the design and enhancement of new and existing data management systems bull Ensure the security and integrity of system and product solutions including compliance with Navy Federal, industry engineering and Information Security principles and practices bull Perform other duties as assigned Qualifications and Education Requirements Level II bull Bachelor's degree in Information Systems, Computer Science, Engineering, or related field, or the equivalent combination of education, training and experience bull Advanced skill in Microsoft Excel and Operation Data Integration (OLTP) bull Proficient skill in Microsoft SharePoint, Microsoft Azure, Informatica, MS Office Products, SQL bull Experience with Hadoop, Azure Data Catalog, Microsoft Power BI, Data Architecture, Apache Spark bull Novice skill level in Python, Agile Frameworks (SAFE), Microsoft Databricks, Snowflake, Azure Data Factory, HDInsight, Hive (Apache), Cognos bull Knowledge of and the ability to perform advanced statistical analysis such as measures of central tendency, normal distribution, variance, standard deviation, basic tests, correlation, and regression techniques bull Ability to understand the business problem and determine what aspects of it require optimization articulate those aspects in a clear and concise manner bull Ability to define and analyze complex models that predict the probability of an outcome bull Experience with ETL tools and techniques bull Demonstrated understanding of SQL bull Ability to understand other projects or functional areas in order to consolidate analytical needs and processes bull Demonstrates change management andor communication skills bull Demonstrates skill in sourcing, maintaining, and updating data bull Knowledge of data warehousing, data cleaning, data pipelines and other analytical techniques required for data usage bull Working knowledge of multiple data related concepts bull Understands various data structures and the ability to extract data from various data sources (such as Cognos, Informatica) bull Knowledge of the concepts and application of data mapping and building requirements bull Understands data models, large datasets, businesstechnical requirements, BI tools, data warehousing, statistical programming languages and libraries bull Knowledge of various data structures and the ability to manipulate data within visualization tools such as Microsoft Power BI, Tableau bull Ability to manipulate raw data into effective visualization dashboards bull Ability to communicate end to end data outcomes visually bull Ability to manage the process between updating and maintaining data source systems and implementing data related requirements bull Proficient in managing the process between updating and maintaining data source systems and implementing data related requirements Desired Qualifications and Education Requirements bull Knowledge of Navy Federal Credit Union instructions, standards, and procedures Level III bull Master's degree in Information Systems, Computer Science, Engineering, or related field, or the equivalent combination of education, training and experience bull Expert skill in Microsoft Excel and Operation Data Integration (OLTP) bull Advanced skill in Microsoft SharePoint, Microsoft Azure, Informatica, MS Office Products, SQL bull Proficient in Hadoop, Azure Data Catalog, Microsoft Power BI, Data Architecture, Apache Spark bull Novice skill level in Python, Agile Frameworks (SAFE), Microsoft Databricks, Snowflake, Azure Data Factory, HDInsight, Hive (Apache), Cognos bull Knowledge of and the ability to perform basic statistical analysis such as measures of central tendency, normal distribution, variance, standard deviation, basic tests, correlation, and regression techniques bull Ability to understand the business problem and determine what aspects of it require optimization articulate those aspects in a clear and concise manner bull Ability to define and analyze highly complex models that predict the probability of an outcome bull Experienced in the use of ETL tools and techniques bull Optimal understanding of SQL bull Ability to understand other projects or functional areas in order to consolidate analytical needs and processes bull Demonstrates change management andor excellent communication skills bull Experienced in sourcing, maintaining, and updating data bull Understands data warehousing, data cleaning, data pipelines and other analytical techniques required for data usage bull Demonstrates deep understanding of multiple data related concepts bull Working knowledge of various data structures and the ability to extract data from various data sources bull Understands the concepts and application of data mapping and building requirements bull Understands data models, large datasets, businesstechnical requirements, BI tools, data warehousing, statistical programming languages and libraries bull Demonstrates functional knowledge of data visualization tools such as Microsoft Power BI, Tableau bull Working knowledge of various data structures and the ability to manipulate data within visualization tools bull Ability to manipulate raw data into effective visualization dashboards bull Ability to communicate end to end data outcomes visually bull Skilled in managing the process between updating and maintaining data source systems and implementing data related requirements Desired Qualifications and Education Requirements bull Knowledge of Navy Federal Credit Union instructions, standards, and procedures Hours Monday - Friday, 800am to 430pm Location 820 Follin Lane, Vienna VA 22180 Due to COVID-19 and social distancing, this position will be temporarily working from home with plans to return to campus at the desired location listed once Navy Federal is back to normal operations. The specific logistics for returning to campus will be determined at a future date by individual leadership. Equal Employment Opportunity Navy Federal values, celebrates, and enacts diversity in the workplace. Navy Federal takes affirmative action to employ and advance in employment qualified individuals with disabilities, disabled veterans, Armed Forces service medal veterans, recently separated veterans, and other protected veterans. EOEAAMFVeteranDisability Disclaimer Navy Federal reserves the right to fill this role at a higherlower grade level based on business need. An assessment may be required to compete for this position. Bank Secrecy Act Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.
      Posting ID: 597002038Posted: 2021-01-15