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Donato Technologies, Inc. is seeking an experienced Data Specialist (Level III) to own data mapping and data requirements for a system migration.
The role emphasizes delivering complete, well-documented source-to-target mappings with development and testing efforts for the solution. The ideal candidate has extensive SDLC experience in data warehousing/integration, strong SQL skills across Oracle/SQL Server/PostgreSQL, and proficiency with ETL tools or scripting.
1. Level III- More than seven (7) years of experience working on complex projects with 2 or more years in a leadership role as a Specialist
2. More than seven (7) years working on data conversion/data warehouse projects, including: source system metadata analysis, documentation, and validation; source-to-target data mapping; data profiling and data cleansing rules; To-Be system data requirements gathering, analysis, documentation, and validation; data synchronization and bridging requirements; and data conversion quality assurance testing; experience with UNIX shell scripting with performance tuning of queries during data loads and transformations.
3. More than seven(7) years of experience working across the full Software Development Life Cycle (SDLC) for data conversion/data warehouse projects, including requirements gathering, design, development, testing, and deployment phases as a Data Analyst and ETL developer in data warehousing or data integration projects; writing SQL statements and queries against RDBMS platforms such as Oracle, SQL Server, and PostgreSQL as part of development and validation; developing and executing ETL processes using any industry-standard ETL tool or scripting-based approach (e.g., Informatica, T-SQL, PL/SQL, PL/pgSQL).
1. Three or more years of experience in government or public sector data systems.
2. Experience with data conversion/migration projects, especially legacy-to-modern system transitions .
3. Strong understanding of data warehouse/DataMart concepts (staging, dimensional modeling, etc.)
4. Five or more years of experience with Data Quality processes, approaches, measurement techniques, and business cases for data profiling, cleansing, standardization, and match and merge functionality.
5. Working knowledge of Python for data processing or automation scripts, a plus.
6. Experience supporting QA/UAT for data conversion testing.
7. Strong written and verbal communication skills; ability to present data findings to technical and non-technical audiences.
Job Description: Data Specialist (Level III)
We are looking for an experienced Data Specialist to own the data mapping, and data requirements work for our system migration. The primary focus of this role is to deliver complete, well-documented, and validated source-to-target data mapping requirements along with development and testing effort of the solution.
Consultants may be eligible to telecommute for more than 50% of their work hours, up to and including 100% remote work. Telecommuting arrangements require direct manager approval and are subject to change based on program needs. Consultants approved for 100% remote work must attend monthly in-person meetings at the Albany office and be available for major milestone meetings as needed
IES will interview at least the top five highest candidates. If none of the five provide best value, IES will request to interview all candidates deemed susceptible based on technical and cost evaluations.