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Urgent Require : Lead Azure Data Engineer - Remote at Remote, Remote, USA
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From:

mohit,

Spar

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Hello;

Lead Azure Data Engineer

Atlanta, GA - Remote Option is available now, submit best quality profiles.

Long Term

Note
: minimum 8 years of exp in USA geography not the total years of exp .

Senior Azure Data Engineer

Regular

New

12+ years

Azure Data Factory, Spark, SQL, Python, Databricks, Snowflake

Job Responsibilities:

            Design, develop, and implement robust and scalable data solutions using Azure technologies, including Azure Data Factory, Azure SQL Data Warehouse, Azure Databricks, and/or Azure Synapse Analytics.

            Proficient in programming languages like Spark (with either Python or Scala), SQL

            Experience with Databases like Sql Server, Teradata, Snowflake, Synapse.

            Good understanding of data engineering principles, data modelling, data warehousing, and ETL/ELT processes which includes data testing, validation and reconciliation processes.

            Hands-on experience with data integration and data transformation frameworks, tools, and methodologies.

            Experience with version control systems like Git, GitHub etc

            Collaborate with cross-functional teams and business teams to understand business requirements and translate them into technical designs and solutions.

            Build and maintain data pipelines, data integrations, and data transformations to enable efficient data processing, storage, and retrieval.

            Optimize data infrastructure and solutions for performance, scalability, and cost-efficiency, ensuring high availability and reliability.

            Conduct data profiling, data validation, and data cleansing activities to ensure data integrity and accuracy.

            Mentor and provide technical guidance to junior data engineers, freshers/interns, fostering knowledge sharing and skills development within the team.

Good to have:

            Experience with version control systems, CI/CD pipelines, and automated testing frameworks.

            Knowledge in streaming technologies, pipelines and frameworks like Kafka, EventHub, Azure Stream Analytics.

Keywords: continuous integration continuous deployment Georgia
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Wed Jan 31 00:09:00 UTC 2024

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