Responsible for the design, implementation, and optimization of data solutions as an expert
Azure Data Engineer
with
4-6
years of experience.
Proficiency in programming languages like
Python, SQL, or Scala for data manipulation, transformation, and analysis
Expertise in data modelling, data warehousing, and data integration concepts.
Sound knowledge of data governance practices, data quality management, and data security principles.
Develop efficient
ETL pipelines using Azure Data Factory
and ensure data quality and storage via
Azure Data Lake
.
Utilize your proficiency in complex stored procedures within
Azure Databricks
to enable advanced analytics on data volumes exceeding 50TB.
Collaborate cross-functionally to contribute to data-driven initiatives, leveraging
Azure Synapse Analytics
to provide actionable insights.
Apply your deep understanding of the retail domain to enhance data strategies and solutions for retail-specific challenges.
Play a pivotal role in shaping our organization's data-driven journey, driving innovation through data analytics and insights.
Optimize data storage, processing and retrieval mechanisms for performance, cost, and scalability using data storage services (such as Azure Data Lake Storage, Azure SQL Database, etc.), data processing services (such as Azure Data Bricks, Azure Synapse, etc.) and data visualization (PowerBI, Qlik, etc.) & integration services (Data API builder, logic apps, etc.)
Monitor and troubleshoot data platform performance, identify and resolve issues, and provide recommendations for continuous improvement.
Collaborate with DevOps teams to automate deployment, configuration, and monitoring processes using Azure DevOps, PowerShell, or other relevant tools.
Stay up to date with the latest trends and advancements in cloud data services and provide recommendations on adopting new technologies or features to enhance the data platform.
Document technical designs, procedures, and guidelines for data platform engineering and operations

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