Data Engineer

We are seeking a skilled Data Engineer with strong expertise in SQL, Python, Power BI and Databricks to design, build, and optimize scalable data pipelines and transformation processes. The ideal candidate will have hands-on experience in data engineering, ETL development, and working with large datasets within modern cloud-based data platforms. This role requires strong analytical skills and the ability to collaborate with cross-functional stakeholders to deliver high-quality data solutions.

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines for data ingestion, transformation, and processing.
• Build and optimize data workflows using SQL, Python, and Databricks.
• Process and manage large volumes of structured and unstructured data efficiently.
• Ensure data quality, integrity, and reliability across various data sources.
• Monitor, troubleshoot, and optimize data processing performance.
• Collaborate with business stakeholders and technical teams to understand data requirements and implement effective solutions.
• Support reporting and analytics initiatives by providing clean, reliable, and accessible datasets.
• Participate in data architecture discussions and contribute to continuous improvement of data engineering practices.

Required Skills & Qualifications

• Strong hands-on experience in SQL, Python, and Databricks.
• Proven experience in Data Engineering, Data Transformation, and ETL/ELT development.
• Experience with reporting and visualization tools such as Power BI and Tableau.
• Experience working with large-scale datasets and optimizing data processing workflows.
• Strong analytical, problem-solving, and debugging skills.
• Experience working within cloud-based data platforms and modern data ecosystems.
• Ability to work independently and in a collaborative team environment.
• Good communication and stakeholder management skills.

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Preferred Skills

• Knowledge of Workforce Management (WFM) domain processes and reporting.
• Exposure to data warehousing concepts and data modeling.