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Data Engineer-Remote at Remote, Remote, USA
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From:

Avinash,

Stacknexus

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Data Engineer

Remote

Healthcare is Must (Pharmacy benefit management )

Skills must have: Azure, Synapse, Databricks, SnowFlake, Python, PySpark (ETL)

Job Title: Azure Data Engineer

Job Details:

Considering Python as the ETL tool for reading data from the source, handling datatype and data transformations, managing error handling, logging, and loading data into Databricks-managed Delta tables, the candidate should have strong expertise in Python, along with solid knowledge of Databricks and PySpark, enabling them to evaluate and perform data transformations within Databricks. They should be proficient in all aspects of Python, including classes, objects, methods, dictionaries, loops, Wheel files, and packages, and should be able to connect to various data sources, including databases and streaming data,

Expertise in Azure services such as Azure SQL Database, Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake is also required.

The ideal candidate has extensive experience in data engineering, working with large-scale data infrastructures, and optimizing ETL processes

Expertise in Azure services such as Azure SQL Database, Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake

At least 6+ years of experience in data engineering, with a focus on building data pipelines

Proven experience with Spark, Scala, and other related technologies

Familiarity with Could Warehouses, data lakes, storage formats.

Strong knowledge of data modeling and ETL processes

Experience leading data engineering projects

Proven experience with Databricks and Apache Spark

Strong proficiency in Python

Experience in Unix scripting and scheduling tools

Keywords:
Data Engineer-Remote
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01:48 AM 04-Dec-24


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