Source description
About the role
Location: KY and NJ
Consultant either has to be local or need to relocate to any of the locations that is KY or NJ
Mandatory skills: Python, Pyspark, Azure Databricks, ETL,
Key Responsibilities
Designing developing and maintaining scalable data pipelines and ETL processes using Azure Databricks Data Factory and other Azure services
Implementing and optimizing Spark jobs data transformations and workflows within Databricks
Developing and maintaining data models and data dictionaries
Developing and maintaining data quality checks governance policies and security procedures
Designing and creating ETL processes to supply data to various destinations including data warehouses
Integrating data from various sources into Azure Databricks
Working with other teams including data engineers data scientists and analysts to ensure data quality and consistency
Implementing effective monitoring processes to track performance and optimize workflows
Contributing to the design and implementation of data lakehouse solutions using Databricks
Skills and Qualifications
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Azure Databricks Proficiency Experience with Azure Databricks PySpark and Spark
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Programming Languages Proficiency in languages like Python SQL and Scala
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ETL and Data Warehousing Strong understanding of ETL processes data warehousing concepts and data modeling
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Cloud Platforms Experience with cloud platforms particularly Microsoft Azure
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Data Engineering Experience in data engineering data pipelines and data integration
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Data Governance and Security Knowledge of data governance policies and procedures
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Problemsolving and Debugging Excellent problemsolving and debugging skills
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Communication and Teamwork Strong communication and teamwork skills
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