2 results for Front End Developer Technology in Pittsburgh, PA

Data Engineer We are offering a long term contract employment opportunity for a proficient Data Engineer in Pittsburgh, Pennsylvania. The selected candidate will be primarily tasked with converting data from legacy Microsoft tools to modern AWS services, employing their expertise within the federal government contractor industry. Responsibilities: • Execute data migration from legacy Microsoft tools to AWS services with a focus on maintaining data integrity and accuracy. • Utilize data visualization tools like Tableau or Power BI to process, analyze, and present data during migration workflows. • Build and manage comprehensive ETL pipelines using AWS Glue, Athena, and related AWS tools. • Employ AWS Step Functions to automate workflows and synchronize distributed application services. • Establish secure data storage, processing, and access workflows in AWS S3 and RDS. • Leverage AWS Kinesis for real-time data streaming in scalable data migration strategies. • Collaborate with cross-functional teams to ensure all data migrations adhere to federal compliance standards and organizational requirements. • Provide technical expertise on federal regulatory constraints, security policies, and operational best practices unique to the AWS.gov environment. • Troubleshoot and resolve migration-related issues while mitigating risks during the transition process. • Document processes, technical configurations, and migration steps effectively for audits and team reference.

Data Engineer We are offering a long term contract employment opportunity for a Data Engineer in the Education - University industry, located in YOUNGSTOWN, Ohio. As a Data Engineer, you'll be tasked with managing large data sets, developing strategies for data snapshots, and facilitating data connectivity. Responsibilities: • Utilizing Power BI knowledge to create data models from various sources. • Advising on Power BI performance impact related to table types. • Implementing Ellucian Data Connect for legacy data integration, eliminating the need for CSV conversion. • Evaluating the feasibility of using SQL DB with Power BI for report generation. • Developing and implementing a data management strategy, particularly for 14th-day snapshots. • Ensuring data integrity and cleanliness post-snapshot. • Leveraging cloud technologies for efficient data management. • Utilizing data visualization techniques for improved data interpretation. • Developing APIs for seamless data exchange. • Implementing AWS technologies for enhanced data warehousing.