XB25C107601

Deloitte Consulting LLP seeks a Consulting, Senior Consultant in Atlanta, Georgia and various unanticipated Deloitte office locations and client sites nationally.

Work You’ll Do
Modernize business and core environments to leverage technology innovations across multiple platforms; drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise for continuous insights and improvements. Drive aspects of the full data delivery lifecycle for implementations, which may include requirements gathering, business process analysis, scripting, code deployments, enhancement validation, triage of defects and change requests, escalations and urgent issues. Create architecturally significant non-functional requirements to design reusable data ingestion and data management components. Establish data ingestion patterns and design data integration interfaces with internal and external data sources. Drive advisory and implementation services of large-scale data ecosystems, including data management, governance and the integration of structured and unstructured data, to generate insights leveraging platforms to help companies unlock the value of big technology investments. Provide technical recommendations for optimized data access and retention from data warehouses. Create technical and functional specifications, including screen layouts, navigation flows, logic diagrams, data models, and process models. Design and implement solutions to extract and reconcile data scattered across multiple sources.

• 50% Travel Required Nationally
  
• Telecommuting Permitted
  
• Work location includes various unanticipated Deloitte office locations and client sites nationally

Requirements
Bachelor’s degree or foreign equivalent in Business Administration, any STEM field, or a related field. Must have 2 years of related work experience in the job offered or in a related occupation. Position requires 2 years of related work experience in each of the following:

• Utilizing Azure Data Factory, Databricks, Azure Synapse Analytics, Google Cloud Platform (GCP), GCP BigQuery, Apache Airflow, Spark SQL, and Apache Airflow to generate insights leveraging cloud-based, web-based, or on-premise environments;
  
• Defining multi-tenancy and resource management requirements utilizing Linux Server, Apache Hadoop, Apache Hive, and Azure Data Lake;
  
• Performing data management, including master data, metadata, data architecture, data governance, data quality, and data modeling utilizing Alation, Microsoft (MS) Purview, MS SQL Server, Relational Database Management System (RDBMS), and Snowflake;
  
• Participating in setting engagement objectives and scope, developing work plans for components of engagements, coordinating activities between workstreams, and identifying changes in scope;
  
• Utilizing Jenkins, Continuous Integration/Continuous Deployment (CI/CD), GitHub Enterprise, and GitLab to coordinate and drive aspects of the full data delivery lifecycle for implementations, including requirements gathering, business process analysis, scripting, code deployments, enhancement validation, triage of defects, change requests, and escalations and urgent issues;
  
• Providing industry insight and analytical support using data mining, pattern matching, data visualization, and predictive modeling tools, including MS Power BI, and consolidating the implications to present recommendations to senior management and executives;
  
• Delivering Data Warehousing and Analytics solutions utilizing Azure Data Factory, Databricks, Apache Airflow, PySpark, Python, and Scala; and
  
• Performing data analysis, including inspecting, cleansing, transforming and modeling for enabling data mining and resolving data mapping and data modeling issues using Azure Data Factory, Apache Airflow, PySpark, Python, and Scala.

Other
Hours: M-F, 40 hours/week.

If offered employment, must have legal right to work in U.S. EOE, including disability/veterans.