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Data Engineer


Georgia IT, Inc.


Location

Bangalore | India


Job description

Azure Data Engineer

Location - No specific location but team is sitting at Mumbai, Hyderabad, Bangalore, Chennai

Work Mode – Hybrid

We need strong SQL skill front. We need more of a SQL Developer than a ADF Data Engineer at this point based on the candidates we are seeing.

Please find the JD below:

JD:

As an Azure Data Engineer, you will be responsible for designing, implementing, and maintaining data solutions on the Azure platform. You will collaborate with cross-functional teams to gather requirements, design data pipelines, and ensure data integrity and security.

Responsibilities:

• Design, develop, and deploy scalable and reliable data solutions on the Azure platform.

• Collaborate with stakeholders to gather data requirements and translate them into technical specifications.

• Build and optimize data pipelines for data ingestion, transformation, and storage.

• Implement data integration and ETL processes to ensure data quality and reliability.

• Monitor and troubleshoot data pipelines to ensure performance and availability.

• Work closely with data scientists and analysts to support their data needs and enable data-driven decision-making.

• Implement data governance practices and ensure compliance with data security and privacy regulations.

• Stay up-to-date with the latest trends and advancements in Azure data engineering and recommend best practices to enhance data solutions.

Qualifications:

• 3+ Years of proven experience as a data engineer, preferably with expertise in Azure data services.

• Strong knowledge of SQL and experience with data modeling and database design.

• Proficiency in programming languages such as Python, Scala, or Java.

• Experience with Azure data services, including Azure Data Factory, Azure Databricks, Azure SQL Database, and Azure Synapse Analytics.

• Experience with PowerBI

• Knowledge of data governance and data security principles.

• Excellent problem-solving and analytical skills.

• Strong communication and collaboration abilities.

• Ideally some experience with SSIS


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