Data Engineer

A highly skilled Data Engineer with proven experience in Power BI and data pipeline development. The ideal candidate will design, build, and maintain scalable data infrastructure to support analytics and reporting needs across the organization. You'll work closely with business stakeholders and analysts to ensure data accuracy, performance, and accessibility.

• Design, build, and maintain ETL/ELT pipelines for structured and unstructured data from various sources.
• Develop and manage data models, data warehouses, and data lakes to support analytics and BI initiatives.
• Create and optimize Power BI dashboards and reports, ensuring accurate data representation and performance.
• Collaborate with cross-functional teams to identify business requirements and translate them into technical solutions.
• Implement and maintain data quality, governance, and security standards.
• Monitor and optimize data pipeline performance, identifying bottlenecks and opportunities for improvement.
• Integrate data from multiple systems using tools such as Azure Synapse, Microsoft Fabric, SQL, Python, or Spark.
• Support data validation, troubleshooting, and root cause analysis for data inconsistencies.
• Document data processes, architecture, and system configurations.

Qualifications

Required:

• Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field.
• 3-5 years of experience as a Data Engineer, BI Developer, or related role
• Strong proficiency in SQL and data modeling techniques.
• Hands-on experience with Power BI (DAX, Power Query, and data visualization best practices).
• Experience with ETL tools and data orchestration frameworks (e.g., Azure Synapse, Airflow, or SSIS).
• Familiarity with cloud data platforms (Azure, AWS, or GCP).
• Strong understanding of data warehousing concepts (e.g., star schema, snowflake schema).

Preferred:

• Experience with Python or Scala for data processing.
• Knowledge of Azure Synapse, Databricks, or similar technologies.
• Understanding of CI/CD pipelines and version control systems (Git).
• Exposure to data governance and security frameworks.

Soft Skills

• Strong analytical and problem-solving abilities.
• Excellent communication and collaboration skills.
• Detail-oriented with a focus on data accuracy and integrity.
• Ability to work independently and manage multiple priorities in a fast-paced environment.