L1 Data Engineer – Remote

We are looking for a motivated and technically solid L1 Data Engineer to join our growing Data & Analytics team.

Requirements

• 2+ years of professional experience in a Data Engineering or closely related role.
• Strong proficiency in Python for data processing, transformation, and automation tasks.
• Hands-on experience with Pandas for data manipulation and PySpark for distributed data processing.
• Practical experience with Databricks, including notebook development, clusters, and job orchestration.
• Experience building and managing data pipelines with Azure Data Factory.
• Working knowledge of Azure Synapse Analytics, particularly Spark pool integration.
• Solid SQL skills, including query writing, optimization, and performance tuning.
• Familiarity with data engineering principles including incremental loading, data lake architecture, and Delta Lake.
• Understanding of data governance and security concepts within a cloud data platform.
• Databricks Certified Data Engineer Associate certification.

Benefits

• Opportunity to deepen expertise in cloud-native data platforms
• Collaborative, fast-paced environment
• Continuous improvement of data infrastructure