Design and implement ETL/ELT pipelines to ingest data from various sources
Consolidate and modernize data workflows using Azure Data Factory and other cloud-native tools
Support the creation of a centralized data lake environment for enterprise-wide analytics
Required Qualifications
Bachelor's degree in Computer Science, Information Systems, or a related field; Master's is a plus
3+ years of hands-on experience building and maintaining ETL pipelines and data workflows
Proficiency with SQL Server and advanced SQL development
Experience with Azure Data Factory or similar cloud data integration tools
Familiarity with cloud-based data platforms such as Azure Synapse, Redshift, or Snowflake
Average salary estimate
$100000
/ YEARLY (est.)
min
max
$80000K
$120000K
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