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We are seeking an experienced Azure Data Engineer to join our team. The ideal candidate will have a strong background in designing, building, and maintaining large-scale data pipelines on Azure. The successful candidate will be responsible for architecting and implementing data solutions using Azure services such as Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and Azure Storage.
Key Responsibilities:
Requirements:
Nice to Have:
ValueLabs is a global technology company providing consulting, technology, and outsourcing services. Established in 1997, we focus on digital solutions that drive innovation and long-term partnerships. With over 7,000 employees in 30+ locations, we specialize in Product Development, Data Technology, DevOps, Cloud Computing, and Digital Transformation. Our emphasis on quality and client-centricity ensures exceptional customer experiences and business outcomes. We deliver scalable, cutting-edge solutions, helping businesses thrive in the digital age through collaboration and technology-driven excellence.
Job ID: 105049321
Skills:
Pyspark, Sql, Azure Synapse Analytics, Spark, Data Warehousing Concepts, Python, data modeling techniques, Azure SQL Database, Azure Data Factory ADF, large-scale data processing, Azure Data Lake ADLS Gen2, ETL ELT development, Azure Data Services
Skills:
Azure Data Factory, Pyspark, Azure Databricks, Python, Synapse
Skills:
Spark, Sql, Databricks, Azure Data Factory, Python, Azure Synapse, Pyspark, Kafka, ADLS
Skills:
data vault , Github, Devops, Powerbi, Docker, Data Lake, Databricks, Advanced Sql, Python, Azure ecosystem, Kimball techniques, Database design for analytic applications, Entra-ID, Meta data driven design, Key vault, dbt, CI CD pipelines, Data pipelines, ETL workflows
Skills:
Azure, Sql, Python, Pyspark, data bricks
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