Data Engineer

seeking a Data Engineer with strong hands-on experience in Azure Cloud, Azure Databricks, PySpark, Azure Data Factory (ADF), Delta Lake, and Unity Catalog. The ideal candidate will be responsible for designing, developing, and optimizing scalable data pipelines and cloud-based data solutions, with expertise in ETL/ELT processing, data modeling, performance tuning, and data governance. The role requires proficiency in Python, SQL, GitHub, and CI/CD practices, along with experience working with large-scale datasets in enterprise environments. This is an individual contributor role that demands strong analytical and problem-solving skills, the ability to work independently, and ownership of end-to-end solution delivery while collaborating effectively with cross-functional teams and business stakeholders.

Expertise in: Azure Databricks, PySpark, Delta Lake Azure Data Factory (ADF) and ADLS Gen2 Experience working on large-scale, cloud-native data platforms (Azure preferred) Exposure to AI/LLM or agentic frameworks (Databricks AI/ML, Codex, Claude, etc.)

Strong experience building REST or GraphQL APIs Experience with Kubernetes (AKS preferred) for API deployment Understanding of API security, contracts, error handling, and performance

Strong understanding of data governance, security, and CI/CD practicesPrimary skill for the API Role with AI Builder

Role Descriptions: Associate should have handson knowledge in Databricks| ADF| pyspark| Also must have knowledge of cloud Essential Skills: Associate should have handson knowledge in Databricks| ADF| pyspark| Also must have knowledge of cloud Desirable Skills: Keyword: Skills: Digital : Scala~Digital : Databricks~Digital : PySpark~Azure Data Factory Experience Required: 4-6