Job Location: Richmond, VA
Job Detail:
Yakshna Solutions, Inc., (YSI) is a CMMI Level 3 assessed, ISO 9001, 20000:1, 27001 certified, woman-owned small business enterprises, headquartered in Herndon, Virginia, USA. YSI provides professional IT solutions and services to business corporations and government organizations. YSI is committed to serve its business communities as a leading IT vendor providing innovative, quality, and cost-effective IT business solutions and services.
We offer a competitive benefits package that includes the following: 401(k), health, dental, and vision insurance, Life insurance, short-term and long-term disability insurance, paid time off, training, and professional development assistance.
YSI is seeking a highly qualified Data Analyst/Cloud ETL Developer. The selected candidate will be able to communicate effectively (written/verbal), possess strong interpersonal skills, be self-motivated, and be innovative in a fast-paced environment.
ยท Local Richmond, VA candidates ONLY required due to onsite requirement
ยท This position requires onsite 3 days a week with 2 remote.
ยท Contractor will be responsible for purchasing parking through VDOTโs Parking Management Office or procuring their own parking.
Job Description: Data Analyst/SR ETL Developer
ยท YSI is seeking a Master Data Analyst with demonstrated experience in data analytics to work as a key member of Enterprise Data Asset team. This analyst will support teams working in Agile (Sprint) to analyze datasets to be made available in a cloud-based data management platform that will support the agency to produce master data with data governance.
Responsibilities include analyzing source systems which contain a spatial component for candidate datasets; documenting business processes and data lifecycle; developing data requirements, user stories and acceptance criteria; and testing strategies. Develop ETL to extract business data and spatial data and load it into a data warehousing environment. Design and test the performance of the system. Consult with various teams to understand the companyโs data storage needs and develop data warehousing options. Deep knowledge of coding languages, such as python, Java, XML, and SQL. Well-versed in warehousing architecture techniques such as MOLAP, ROLAP, ODS, DM, and EDW.
ยท VDOT is a fast-paced organization with very high standards for work quality and efficiency. This position is expected to handle multiple projects, and remain flexible and productive, despite changing priorities and processes. Ongoing improvement and efficiency are a part of our culture, and each team member is expected to proactively contribute to process improvements.
Responsibilities:
ยท Work with the Project team members and business stakeholders to understand business processes and pain points
ยท Develop expertise in source system datasets and data lifecycle
ยท Profile source data which may contain a spatial component; review source data and compare content and structure to dataset requirements; identify conflicts and determine recommendations for resolution
ยท Conduct entity resolution to identify matching and merging and semantic conflicts
ยท Elicit, record, and manage metadata
ยท Diagram current processes and proposed modifications using process flows, context diagrams and data flow diagrams
ยท Decompose requirements into Epics and Features and create clear and concise user stories that are easy to understand and implement by technical staff
ยท Utilize progressive elaboration; map stories to data models and architectures to be used by internal staff to facilitate master data management
ยท Identify and group related user stories into themes, document dependencies and associated business processes
ยท Discover and document requirements and user stories with a focus on improving both business and technical processing
ยท Assist Product Owner in maintaining the product backlog
ยท Create conceptual prototypes and mock-ups
ยท Collaborate with staff, vendors, consultants, and contractors as they are engaged on tasks to formulate, detail and test potential and implemented solutions
ยท Perform Quality Analyst functions such as defining test objectives, test plans and test cases, and executing test cases
ยท Coordinate and Facilitate User Acceptance Testing with Business and ensure Project Managers/Scrum Masters are informed of the progress
ยท Designs and develops systems for the maintenance of the Data Asset Program (Data Hub), ETL processes, ETL processes for spatial data, and business intelligence.
ยท Develop a new data engineering process that leverage a new cloud architecture and will extend or migrate our existing data pipelines to this architecture as needed.
ยท Design and supports the DW database and table schemas for new and existent data sources for the data hub and warehouse. Design and development of Data Marts.
ยท Work closely with data analysts, data scientists, and other data consumers within the business in an attempt together and populate data hub and data warehouse table structure, which is optimized for reporting.
ยท The Data developers partners with Data modeler and Data architect in an attempt to refine the businessโs data requirements, which must be met for building and maintaining Data Assets.
Qualifications Required:
ยท The candidate must have a minimum of 10 years of experience delivering business data analysis artifacts
ยท 5+ years of experience as an Agile Business Analyst; strong understanding of Scrum concepts and methodology
ยท Experience organizing and maintaining Product and Sprint backlogs
ยท Experience translating client and product strategy requirements into dataset requirements and user stories
ยท Proficient with defining acceptance criteria and managing acceptance process
ยท Exceptional experience writing complex sql queries for Sql Server and Oracle
ยท Experience with Azure Databricks
ยท Experience with ESRI ArcGIS
ยท Experience with enterprise data management
ยท Expertise with Microsoft Office products (Word, Excel, Access, Outlook, Visio, PowerPoint, Project Server)
ยท Experience with reporting systems โ operational data stores, data warehouses, data lakes, data marts
ยท The candidate must have exceptional written and oral communications skills and have the proven ability to work well with a diverse set of peers and customers
ยท Preferred Skills:
ยท Advanced understanding of data integrations.
ยท Strong knowledge of database architectures
ยท Strong analytical and problem-solving skills
ยท Ability to build strong relationships both internally and externally
ยท Ability to negotiate and resolve conflicts
ยท Ability to effectively prioritize and handle multiple tasks and projects
ยท Strong written and verbal communication skills
ยท Desire to learn, innovate and evolve technology
ยท Computer Skills/MS Office/Software:
ยท Excellent computer skills and be highly proficient in the use of MS Word, PowerPoint, MS Excel, MS Project, MS Visio, and MS Team Foundation Server, which will all be necessary in the creation of visually and verbally engaging ETL, data designs and tables as well as the communication of documentation and reporting.
ยท Deep passion for data analytics technologies as well as analytical and dimensional modeling. The candidate must be extensively familiar with ETL (Extraction, Transformation & Load), data warehousing, and business intelligence tools such as business objects, PowerBI, and Tableau.
ยท The candidate must also have vast knowledge of database design and modeling in the context of data warehousing.
ยท Experience with key data warehousing architectures including Kimball and Inmon, and has a broad experience designing solutions using a broad set of data stores (e.g., HDFS, Azure Data Lake Store, Azure Blob Storage, Azure SQL Data Warehouse, Azure Cosmos DB
ยท Technologies Required:
ยท Data Factory v2, Data Lake Store, Data Lake Analytics, Azure Analysis Services, AZURE Synapse
ยท IBM DataStage, Erwin, SQL Server (SSIS, SSRS, SSAS), ORACLE, T-SQL, Azure SQL Database, Azure SQL Datawarehouse.
ยท Operating System Environments (Windows, Unix, etc.).
ยท Scripting experience with Windows and/or Python, Linux Shell scripting
Job Types: Full-time, Contract
Pay: $125,000.00 – $130,000.00 per year
Benefits:
- 401(k)
- Dental insurance
- Health insurance
Schedule:
- 8 hour shift
- Monday to Friday
Experience:
- Informatica: 10 years (Required)
- SQL: 10 years (Required)
- Data warehouse: 10 years (Required)
- delivering business data analysis artifacts: 10 years (Required)
- Agile Business Analyst: 5 years (Required)
- organizing, maintaining Product, Sprint backlogs: 10 years (Required)
- Azure Databricks: 5 years (Required)
- ESRI ArcGIS: 5 years (Required)
- enterprise data management: 5 years (Required)
- AZURE Cloud engineering: 10 years (Required)
- Python, Linux Shell scripting: 10 years (Required)
- IBM DataStage, Erwin, SQL Server: 10 years (Required)
Ability to Commute:
- Richmond, VA 23219 (Required)
Ability to Relocate:
- Richmond, VA 23219: Relocate before starting work (Required)
Work Location: In person
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