Data Engineer

Key Responsibilities

• Design, build, and deploy end-to-end data pipelines using Azure Synapse Analytics.
• Integrate data from various third‑party systems, ensuring high‑quality, clean, and consistent data for downstream use.
• Work with large datasets, performing transformations and applying best practices in data architecture.
• Ensure data accuracy, integrity, and compliance throughout the pipeline development process.
• Assess existing data pipelines for performance, accuracy, and scalability.
• Implement optimizations to enhance efficiency and reduce processing times.

Data Modeling

• Design and implement optimized data models that support analytics and reporting.
• Develop both dimensional and normalized models aligned with business objectives.

Integration with Third‑Party Systems

• Use Azure Synapse to extract data from third‑party platforms (e.g., SaaS applications, CRM, ERP systems).

Data Layer Creation for Reporting

• Develop and maintain structured data layers that support reporting and business intelligence tools.
• Ensure data is accurate, accessible, and optimized for analysis.
• Work closely with data architects, business analysts, and stakeholders to define business requirements and translate them into technical solutions.
• Collaborate with cross‑functional teams to build efficient and reliable data flows.

Monitoring & Troubleshooting

• Continuously monitor data pipelines for performance and reliability.
• Troubleshoot discrepancies and resolve issues in a timely manner.

Key Skills and Qualifications

• Azure Synapse Analytics expertise – strong knowledge of both data lake and data warehouse features.
• ETL/ELT development – hands‑on experience creating and managing complex data pipelines within Azure Synapse.
• Data modeling – ability to design and implement both normalized and dimensional data models.
• Azure Data Factory – experience using Azure Data Factory or similar tools for ETL workflow orchestration.
• Third‑party system integration – experience integrating data from external applications using APIs and connectors.
• SQL proficiency – strong SQL skills for data transformation, querying, and optimization.
• Programming skills – proficiency in scripting languages such as Python, Scala, or PowerShell.
• Problem‑solving – strong troubleshooting and performance optimization skills.
• Collaboration – ability to work with cross‑functional teams and align technical solutions with business goals.

Preferred Qualifications

• Experience with additional Azure services (Azure Data Lake Storage, Azure Blob Storage, Azure SQL Database).
• Familiarity with reporting tools such as Power BI or Tableau.
• Understanding of cloud‑based data architectures, including event‑driven and serverless computing.

Education and Experience

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field (or equivalent experience).
• 3–5 years of hands‑on experience in a data engineering role, with a focus on Azure Synapse or similar data platforms.

Additional Information

• Seniority level: Mid‑Senior level
• Employment type: Contract
• Job function: Information Technology and Engineering
• Industries: Technology, Information and Media, Software Development