Key Responsibilities:

Design, develop, and optimize data pipelines and workflows using Azure Databricks and Python.
Implement and maintain data solutions across the Azure Data Platform (Data Lake, Databricks, etc.).
Develop and maintain APIs supporting data ingestion, data sharing, and interoperability.
Collaborate closely with business stakeholders to gather requirements and translate them into technical solutions.
Ensure data quality, security, and compliance across all solutions.
Integrate data solutions into existing business processes and cross-functional systems.
Continuously improve performance, cost-efficiency, and scalability of data systems.

Required Skills & Qualifications:

Strong knowledge in IICS stack (Informatica Intelligent Cloud Services)
Strong expertise in Azure Databricks, Python, Spark.
Solid experience with Azure Data Services, such as: Azure Data Lake and Azure Data Factory
Experience in ingestion tools like: Qlik Recplicate / MQ / MQCC
Experience with API development (REST/JSON or equivalent).
Solid understanding of ETL processes, data modeling, and fundamental data architecture principles.
Familiarity with CI/CD pipelines and version control (Git, etc.).

Data Engineer