- Design, develop, and maintain data pipelines using Azure Data Factory.
- Manage and optimize data storage using Azure Data Lake Gen 2.
- Build and process large-scale data solutions with Azure Databricks and Apache Spark.
- Create interactive reports and dashboards in Power BI for business insights.
- Collaborate with cross-functional IT and business teams to translate requirements into data solutions.
- Ensure data quality, security, and compliance in line with organizational standards.
Skills Required
- Azure Data Factory: Proficiency in building and managing data pipelines.
- Azure Data Lake Gen 2: Proficient in data storage and management within Azure's data lake workplace.
- Azure Databricks / Apache Spark: Hands-on skill with distributed data processing, transformations, and analytics.
- Power BI: Expertise in data visualization and reporting.
(Note: Relevant applicants will receive an email requesting additional information as part of the next stage. The application process will be completed directly on the team's designated platform, and all subsequent communication and decisions regarding the opportunity are managed by the respective hiring team.)
📌 Data Engineer (Bengaluru)
🏢 Scoutit
📍 Bengaluru
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