ApTask
Data Analyst
ApTask, Herndon, Virginia, United States, 22070
About Client:The Client is a leading global IT services and consulting company, providing a wide range of services to clients in various industries, including banking, financial services, retail, manufacturing, healthcare, and more. It is one of the largest employers in the IT industry and has a vast and diverse workforce. The company places a strong emphasis on employee training and development. Client is known for its commitment to innovation and invests in research and development to stay at the forefront of technological advancements.It offers a comprehensive set of services, including:IT Services: Application development, maintenance, and testing.Consulting: Business consulting, IT strategy, and digital transformation.Business Process Outsourcing (BPO): Outsourcing of business processes to improve efficiency.Enterprise Solutions: Implementation and support of enterprise-level software solutions.Digital Services: Services related to digital technologies, such as analytics, cloud, and IoT.Salary Range:
$110K-$125K/AnnumJob Description:Utilize excellent hands-on PL/SQL skills to design and implement data warehouse subject areas.Develop high performing extraction, transformation and loading (ETL) routines for loading data from our production database into the data warehouse.Create PL/SQL that performs well with large data sets, is written to scale for future growth and adheres to business rules.Effectively integrate new lines of business into the DW requiring the addition of new data sources into existing tables and data marts.Share knowledge and PL/SQL expertise and mentor team members in the design of efficient reporting queries.Team with engineering, IT and business stakeholders to support projects of varying complexity; gather reporting and data warehousing requirements, evaluate best approach and propose solutions.
#J-18808-Ljbffr
$110K-$125K/AnnumJob Description:Utilize excellent hands-on PL/SQL skills to design and implement data warehouse subject areas.Develop high performing extraction, transformation and loading (ETL) routines for loading data from our production database into the data warehouse.Create PL/SQL that performs well with large data sets, is written to scale for future growth and adheres to business rules.Effectively integrate new lines of business into the DW requiring the addition of new data sources into existing tables and data marts.Share knowledge and PL/SQL expertise and mentor team members in the design of efficient reporting queries.Team with engineering, IT and business stakeholders to support projects of varying complexity; gather reporting and data warehousing requirements, evaluate best approach and propose solutions.
#J-18808-Ljbffr