Deloitte Consulting LLP seeks a Consulting, Project Delivery Specialist in Dallas, Texas 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 various 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 various platforms to help companies unlock the value of big technology investments. Provide technical recommendations for optimized data access and retention from various 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.
- 80% 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:
- Designing and implementing data warehousing, analytics, and reporting solutions for unstructured and structured data sets, utilizing Snowflake, Teradata, SQL, PySpark, and Synapse using Amazon Web Services (AWS) and Azure for data integration to generate cloud-based, web-based, and on-premise insights;
- Designing and developing data cleansing routines utilizing typical data quality functions, including standardization and automating Extract, Transform, and Load (ETL) procedures utilizing Apache Airflow using Python to perform data warehousing and data integration functions and using AWS and Teradata for relational metadata;
- Participating in setting engagement objectives and scope, developing work plans for components of engagements, coordinating activities between workstreams, identifying changes in scope, defining multitenancy and resource management requirements utilizing Agile and Kanban methodologies and Jira to modify parameters;
- Utilizing Jira 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 and change requests, escalations and urgent issues;
- Providing industry insight and analytical support using data mining, pattern matching, data visualization, and predictive modeling tools, including GitHub for deployment control, and consolidating the implications to present recommendations to senior management and executives; and
- Working across all phases of the Agile and Waterfall lifecycles for the design, development, testing, data analytics, and data integration solutions.
Other
Hours: M-F, 40 hours/week.
If offered employment, must have legal right to work in U.S. EOE, including disability/veterans.
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