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Azure Data Engineer
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- Posted 4 hours ago
- Be among the first 20 applicants
Job Description
Azure Databricks,PySpark, Azure Data Factory
Responsibilities
- 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.
Core Skills Required
- Azure Data Factory: Experience in building and managing data pipelines.
- Azure Data Lake Gen 2: Proficient in data storage and management within Azure's data lake environment.
- Azure Databricks / Apache Spark: Hands-on skill with distributed data processing, transformations, and analytics.
- Power BI: Expertise in data visualization and reporting.
More Info
Key Skills
About Company
Skills:
Azure Data Factory, Pyspark, Azure Data Lake, Azure Databricks, Sql
Skills:
Pyspark, Adf, Spark, Azure Databricks, Data Engineer, Azure, Synapse, ADLS, Data Bricks
Skills:
Azure Databricks, Python, CI CD GitHub, LLMs Prompt Engineering, AI Agents AI Application Development, Databricks Apps, Medallion Architecture, Azure SQL Database, Azure AI Foundry, Azure Data Factory ADF
Skills:
Pyspark, Apache Spark, Kafka, Sql, Azure Cosmos DB, Azure Data Factory, Azure Synapse Analytics, Kubernetes, Python, Synapse Pipelines, Azure Data Explorer, Azure Service Bus, Azure Event Hubs
Skills:
.Net Core, Sql, Css3, Microservices, ELT, Angular, Nosql, Azure Cosmos DB, Typescript, Azure Data Factory, Javascript, Html5, Rest Apis, Etl