Data Engineer

We are looking for a highly skilled Data Engineer to join our data and analytics team. The ideal candidate will be responsible for designing, building, and optimizing data pipelines and architectures that support scalable, high‑quality data solutions. This role requires expertise in cloud platforms, modern data warehousing, and data transformation frameworks.

Responsibilities

• Design, build, and maintain scalable and reliable data pipelines and ETL/ELT processes.
• Develop and optimize data models, data flows, and integrations across various systems.
• Work with large, complex datasets using Python for data processing and automation.
• Build and maintain data solutions on AWS or Azure cloud environments.
• Develop data warehousing solutions using Snowflake.
• Create and manage data workflows, transformations, and notebooks in Databricks.
• Collaborate closely with data analysts and business stakeholders to ensure data accuracy and accessibility.
• Support the development of dashboards and analytics using Power BI or Tableau.
• Implement data governance, security, and quality best practices.
• Troubleshoot and optimize data systems for performance, scalability, and reliability.

Required Qualifications

• 3+ years of experience working as a Data Engineer or in a similar data-focused role.
• Proficiency in Python for data manipulation and automation.
• Hands‑on experience with cloud platforms: AWS or Azure.
• Strong knowledge of modern data warehousing using Snowflake.
• Practical experience with Databricks for distributed computing and data pipelines.
• Experience building and deploying ETL/ELT pipelines.
• Familiarity with visualization tools: Power BI or Tableau.
• Strong understanding of SQL and database design principles.
• Experience with Git, CI/CD, and agile development practices.
• Strong analytical, problem-solving, and communication skills.