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Ability to analyze business needs and translate them into functional and technical specifications
Minimum of 5 years of hands‑on experience in data engineering, analytics, or data platform roles
Ability to enable secure data sharing and third‑party integrations
Willingness to provide on‑call support as part of a rotation
Experience with data security, governance, and compliance (e.g., SPII, PCI DSS, SOC, GDPR), especially in regulated industries
Expertise with MS SQL Server, SSIS, and advanced SQL optimization techniques
Deep understanding of: OLAP: Dimensional modeling (Kimball); OLTP: Database design in platforms such as SQL Server and DB2
Familiarity with Linux/Unix environments
Strong understanding of ITIL, Agile, SDLC, and DevOps methodologies
Proficiency with Azure Databricks (Python, SQL, Delta Lake, Delta Live Tables), Azure Data Factory
Strong awareness of current data and analytics trends (e.g., real‑time analytics, open data formats, AI assistants, compliance tech)
Familiarity with Git/GitHub, CI/CD practices, and Infrastructure as Code (e.g., Terraform)
Proven ability to translate data insights into business value
Experience working with data lakes, data warehouses, and data migration strategies
Strong command of dbt (SQL, Jinja) and Power BI for data transformation and reporting
Knowledge of mainframe systems and DB2 is a plus
Demonstrated success in platform modernization and data infrastructure scaling
Experience preparing analytics environments for AI/ML workloads and real‑time analytics
Bachelor's degree in Computer Science, Engineering, or related field/equivalent professional experience

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