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Lead Data Engineer (Scala, Spark, Azure Synapse)
eTeam
- United States
- United States
Über
Must Have Skills:
Pyspark Spark Azure Synapse Scala SQL
Nice to Have Skills:
Java Python
Detailed Job Description:
8-10 Years of Total Experience with minimum 7-8 years of Experience in Data Engineering space on Scala & Spark, Pyspark Azure Synapse Data Lake Design scalable Azure data architectures using ADLS, Azure Synapse for enterprise analytics using Spark framework. Strong hands-on experience with Azure Synapse Analytics, along with a good understanding or exposure to Microsoft Fabric Develop and manage data models across bronze, silver, gold layers to support reporting and analytics. Delta/Parquet file formats. Ensure performance, reliability, and security by optimizing jobs, monitoring pipelines, and enforcing governance. Deep understanding of Apache Spark architecture and distributed data processing concepts Proficient in Scala and Python Experience working with Azure Synapse. Experience with KQL to query Log Analytics. Working experience with source code repository like GIT/Azure Repos & build tools like Maven. Strong problem-solving skills and excellent communication skills. Lead and collaborate by mentoring engineers, driving best practices, and working with stakeholders end to end.
Minimum Years of Experience: 8-10 years
Sprachkenntnisse
- English
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