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Responsibilities and Requirements
- 6-8 years of BSA experience in data analytics, data warehouse, or data integration within an agile environment.
- Strong communication, interpersonal, collaboration, and negotiation skills to work seamlessly with cross-functional teams, clients, vendors, and stakeholders.
- Creative and innovative mindset with the ability to visualize solutions that meet business needs.
- Extensive experience in data analysis, profiling, cleanup, data wrangling, validation, and building data quality checks using complex SQL queries.
- Experience with large-scale Enterprise Data Lake ingestion and extraction projects.
- Proficiency with tools like Jira, Confluence, Bitbucket.
- Hands-on experience with Data Lake, Azure Data Factory, Data Bricks, Python, Synapse/SQL Server, Tableau, Power BI, and Azure Scheduler.
- Knowledge of data modeling techniques (conceptual, logical, physical) and metadata management principles.
- Understanding of data security classifications and risk assessment guidelines (TRMIS).
- Strong analytical, organizational, and technical skills for data interpretation and modeling.
- Familiarity with SDLC and structured methodologies including agile, waterfall, and iterative approaches.
- Experience investigating, analyzing, and estimating system applications within large integrated solutions.
- Proven track record with all stages of automated system implementation, including online and batch processing.
- Experience facilitating sprints, translating business needs into technical requirements, and leading project meetings.
- Ability to prioritize requirements and change requests, collaborating with project teams and Scrum Masters.
- Experience supporting legacy applications such as Mainframe and migrating legacy solutions using COTS products.
- Skills in current state analysis, reverse engineering, and identifying source and downstream systems.
- Experience in feasibility analysis, project scoping, and providing work estimates.
- Proficiency in requirements development, elicitation, analysis, and validation.
- Experience documenting user stories, managing backlogs, planning sprints, and implementing iteratively.
- Hands-on experience capturing Data Lineage and Data Mapping between source and target systems.
- Ability to report progress regularly, raise issues, and propose mitigation strategies.
- Experience providing production support.
Additional Details
- Seniority level: Director
- Employment type: Contract
- Job function: Information Technology
- Industries: IT Services and IT Consulting
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