
Career Opportunities in Data Engineering
2 weeks ago
We are seeking a skilled Data Engineer to join our dynamic team. This is an exciting opportunity for you to leverage your technical expertise in data engineering, database development, and architecture.
Key Responsibilities:- Data Architecture & Storage: Design scalable, secure, and high-performing data solutions aligned to business needs; Create robust data models, flows, and storage using Microsoft Fabric and Azure SQL; Manage master data with Profisee and integrate with existing systems.
- Data Integration & Transformation: Build and manage data pipelines using Azure Data Factory and related tools; Ingest data from APIs and external systems into the Azure ecosystem; Implement ETL/ELT logic to prepare data for consumer use.
- Testing, Monitoring & Optimization: Ensure data quality, consistency, and integrity across all stages; Troubleshoot performance issues and fine-tune data pipelines; Use Azure monitoring tools and Purview for data estate management.
- Advanced Analytics & Reporting: Develop OLAP cubes and tabular models with SSAS; Write complex MDX and DAX queries for data analysis; Integrate data models with Power BI, Excel, and SSRS for reporting.
- Collaboration & Documentation: Work closely with analysts, developers, and business leaders to translate needs into data-driven solutions; Document architectures, processes, and provide support/training as needed; Participate in Agile sprints and contribute to continuous improvement.
- 5+ years of experience in data engineering, database development, or architecture.
- Proficiency with SQL, NoSQL, and lakehouse architecture.
- Master data management using Profisee software.
- Management of data estate using Purview software.
- Deep knowledge of Azure services: ADF, Fabric, Synapse, Data Lake, Purview, etc.
- Experience with master data management (Profisee preferred).
- Strong understanding of data privacy, security, and API integration.
- Hands-on experience with SSAS (tabular & OLAP models), MDX, and DAX.
- Experience managing performance, data pipelines, and complex data models.
- Bachelor's or Master's degree in Computer Science, Data Science, Information Technology, or equivalent experience.
- Experience with Airbyte, DBT, or data virtualization.
- Familiarity with accounting or financial services environments.
- Knowledge of basic AI/ML concepts and model lifecycle.
- Certifications in Azure, Power BI, or data-related fields.
- Project management or Agile team experience.
- Wellness program.
- HMO coverage.
- Rewards and Recognition program.
- Free shuttle service.
- Free lunch meal.
- On-demand learning classes.
- Discretionary time off and Holidays.
- Performance-based salary increase.
- Discretionary incentive compensation based on client or individual performance.
- Hybrid set up to selected roles/location, terms and conditions may apply.
- CPA & Certification Assistance and Bonus Program.
We are an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race; color; religion; national origin; sex; pregnancy; sexual orientation; gender identity and/or expression; age; disability; genetic information, citizenship status; military service obligations or any other category protected by applicable federal, state, or local law.
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