ul>Cost Management: responsible for assisting with the development and maintenance of the overall Performance Management Baseline; importing the resource loaded IMS to baseline changes, performance measurement, and forecast data; collaboration with the program financial analyst to validate Estimates to Complete, conduct analysis and reporting delivering both program financial performance and corporate financial performance.
GDIT is looking for a talented and experiencedEVM Cost Engineer who can lead the development and management of the program master schedule for a large complex program.
p style="margin:0in 0in 10pt;font-size:10pt;font-family:'lato' , sans-serif;color:#2c2c2c">Nexus Engineering Group, a distinguished independent full-service engineering, procurement, and construction management (EPCm) firm, provides comprehensive support to clients from concept through startup. The Lead Cost Engineer role is a senior position within the Project Services organization supporting a major capital power project.
ā¢ Operational: - Further advance our cost estimating process and systems for development of Engineers Opinion of Construction Cost estimates (EOPCC) and constructability reviews. Employee Resource Groups and Programs offered include the Young Professionals Group, Women at Wade Trim, Diversity, Equity and Inclusion, Professional Development, Leadership Development, Rotation Program, Mentor Program, Sustainability Program, and Wellness Program.
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The Mechanical Engineer will support projects from concept through completion, ensuring scope, schedule, and budget requirements are met. This opportunity is with a growing engineering firm supporting a variety of projects ranging from moderate to complex scope.
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div class="content">The Senior Electrical Engineer is responsible for ensuring the quality and timely delivery of engineering designs and reports, particularly in the areas of power distribution and electrical systems for process and industrial facilities.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information.
Implementing data integration solutions using AWS Glue, AWS Lambda, Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow and other relevant services ā¢ Designing and managing data warehouses and data lakes, verifying data is organized and accessible ā¢ Monitoring and troubleshooting data pipelines, data warehouses and workflows to verify data quality, system reliability, performance and cost management ā¢ Implementing IAM roles and policies to manage access and permissions within AWS, Azure, GCP ā¢ Use AWS CloudFormation, Azure Resource Manager templates, Terraform for infrastructure as code (IaC) deployments ā¢ Use AWS, Azure and GCP DevOps services to build and deploy DevOps pipelines ā¢ Implementing data security practices using AWS, Azure, GCP, Snowflake or Databricks ā¢ Improving Cloud resources for cost, performance, and scalability ā¢ Proficiency in SQL and experience with relational databases ā¢ Proficient in programming languages such as Python, Java, or Scala ā¢ Familiarity with big data technologies like Hadoop, Spark, or Kafka is a plus ā¢ Experience with machine learning and data science workflows is a plus ā¢ Knowledge of data governance and data security practices ā¢ Demonstrating analytical, problem-solving, and communication skills ā¢ Having the ability to work independently and as part of a team in a fast-paced environment ā¢ Applying modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures ā¢ Collaborating and contributing as a team member: understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback ā¢ Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment ā¢ Coaching and collaborating with associates who assist with this work, including providing coaching, feedback and guidance on work performance. ā¢ Certification in Cloud Platforms [e.g., AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus ā¢ Designing and implementing thorough data architecture strategies that meet the current and future business needs ā¢ Developing and documenting data models, data flow diagrams, and data architecture guidelines ā¢ Verifying data architecture is compliant with data governance and data security policies ā¢ Collaborating with business stakeholders to understand their data requirements and translate them into technical solutions ā¢ Evaluating and recommending new data technologies and tools to enhance data architecture ā¢ Building, maintaining, and improving ETL/ELT pipelines for data ingestion, processing, and storage across batch and real-time data processing ā¢ Building, maintaining, and improving Data Quality rules leveraging DQ tools and/or other ETL/ELT tools ā¢ Developing and deploying scalable data storage solutions using AWS, Azure and GCP services such as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud Storage etc.