Databricks Data Engineer

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As a Data Engineer , you’ll be a key player in transforming data into actionable insights. You’ll collaborate with cross-functional teams to design and build scalable data solutions that support strategic decision-making.

• Design, develop, and maintain ETL/ELT pipelines using Azure Data Factory, Azure Databricks, and other Azure services.
• Build and evolve data architecture, including models, schemas, and dictionaries.
• Integrate data from multiple sources, ensuring quality, consistency, and readiness for analytics and operations.
• Apply data governance policies to ensure security, privacy, and compliance.
• Collaborate with data scientists, analysts, and business stakeholders to translate requirements into scalable solutions.
• Stay current with emerging technologies and identify opportunities to enhance data infrastructure.
• Implement best practices in big data and cloud computing to ensure efficiency and scalability.

• 2+ years of experience as a Data Engineer in cloud environments.
• Hands-on experience with Azure Data Factory, Azure Databricks, and DevOps/CICD automation.
• Strong knowledge of Azure services: ADLS Gen2, Synapse, SQL Server, ADF, Databricks.
• Proficiency in Spark and PySpark for distributed data processing.
• Solid programming skills in Python for scripting and automation.
• Understanding of data warehousing and relational modeling.
• Familiarity with compiled languages (Java, Scala) and scripting languages (SQL, R).
• Excellent communication, problem-solving, and collaboration skills.
• Growth mindset with a passion for continuous learning and improvement.
• Experience working in Agile/Scrum teams using tools like JIRA, Teams, and Mural.
• Knowledge of performance tuning, capacity planning, and production support models.