Data Developer building Azure data pipelines and architectures. Transforming enterprise data with Azure Synapse, Data Factory, Spark, Python, and Power BI.
Responsibilities
Design, develop, and optimize data management and data processing solutions within the Microsoft Azure environment
Ensure ingestion, transformation, and availability of data for analytical, operational, and decision-making needs
Implement robust, reliable, scalable, and secure data architectures
Collect and integrate structured and unstructured data from internal and external sources using Azure Data Factory and native Azure connectors
Transform, clean, and standardize data
Design, develop, and maintain reliable, automated, and resilient data pipelines
Use Azure Synapse Analytics to query, process, and analyze large data volumes
Monitor pipeline, processing workload, and data environment performance
Provide recommendations quickly and effectively
Complete data updates and migrations
Ensure data quality using KPIs
Requirements
Bachelor’s degree in computer science, Data Science, Information Systems, or a related field
Minimum of 3 years of experience as Data Developer with Azure Cloud technologies, Apache Spark, and Python
Hands-on experience with Azure Synapse, Azure Event Hubs, Serverless SQL Pool, ADF Data Pipeline, ETL, Logic Apps, and Power BI
Experience with SQL, NoSQL, SQL Server, and Delta Lake
Demonstrated analytical and problem-solving skills
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