Senior Data Engineer

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MethodHub

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Job Summary


Job Type
-

Seniority

Years of Experience
Information not provided

Tech Stacks
Python SQL Spark Azure Databricks Apache Azure Data Lake Analytics Factory ETL

Job Description

Role: Azure data Engineer


🔹 Relevant Experience: 5+ years only

🔹 Location: Pan India (Remote) (UK Shift)

🔹 Notice Period: Immediate Joiners/15 days only


If you’re passionate about Azure and Data Engineering, this is your chance to be a part of something amazing!


📧 Apply Now: Send your updated resume to [email protected] 📩


Job Description:

Primary Responsibilities -

· Create and maintain data storage solutions including Azure SQL Database, Azure Data Lake, and Azure Blob Storage.

· Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in Azure Create data models for analytics purposes

· Utilizing Azure Data Factory or comparable technologies, create and maintain ETL (Extract, Transform, Load) operations

· Use Azure Data Factory and Databricks to assemble large, complex data sets

· Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data.

· Ensure data security and compliance

· Collaborate with data engineers, and other stakeholders to understand requirements and translate them into scalable and reliable data platform architectures


Required skills:

· Blend of technical expertise, analytical problem-solving, and collaboration with cross-functional teams

· Azure DevOps

· Apache Spark, Python

· SQL proficiency

· Azure Databricks knowledge

· Big data technologies


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