Job Title: Azure Data Engineer
Company: WizzyBox Private Limited
Location: Bangalore, India
Experience Required: 4–7 Years
Employment Type: Full-time
About WizzyBox
WizzyBox Private Limited is a technology-driven organization committed to delivering innovative data-driven and cloud-based solutions. We leverage cutting-edge technologies to help businesses transform their data into actionable insights. We are looking for a skilled Azure Data Engineer to join our growing data team and contribute to the design, development, and optimization of modern data pipelines and architectures.
Roles and Responsibilities
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Design, develop, and maintain data pipelines and ETL/ELT workflows using Azure Data Factory (ADF) and related Azure services.
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Build and optimize data storage solutions in Azure Synapse Analytics, Azure SQL Database, and Data Lake Storage (ADLS).
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Work with structured and unstructured data to ensure reliable data ingestion, transformation, and integration.
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Implement data models, data warehousing, and data integration frameworks to support analytics and reporting needs.
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Collaborate with data scientists, analysts, and business stakeholders to deliver clean, accurate, and scalable datasets.
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Monitor, troubleshoot, and optimize data pipelines for performance, scalability, and cost-efficiency.
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Apply data governance, security, and compliance best practices across data solutions.
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Participate in architecture reviews, code reviews, and continuous improvement initiatives.
Required Skills & Qualifications
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Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
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4–7 years of hands-on experience as a Data Engineer, preferably in a cloud environment.
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Strong expertise in Microsoft Azure data services, including:
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Azure Data Factory (ADF)
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Azure Synapse Analytics / SQL Data Warehouse
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Azure Data Lake Storage (ADLS Gen2)
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Azure SQL / Cosmos DB
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Proficiency in SQL and Python or PySpark for data processing.
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Experience with ETL/ELT design, data modeling, and data warehouse concepts.
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Understanding of DevOps for Data and CI/CD pipelines (using Azure DevOps, Git).
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Familiarity with Power BI integration or other visualization tools.
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Strong analytical, problem-solving, and communication skills.
Good to Have
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Experience with Databricks or Apache Spark on Azure.
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Knowledge of DataBricks Delta Lake, ADF Mapping Data Flows, or Event Hub / Stream Analytics.
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Exposure to machine learning pipelines and data quality frameworks.
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Relevant certifications such as Microsoft Certified: Azure Data Engineer Associate.
Perks & Benefits
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Competitive salary and performance incentives.
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Health insurance and employee wellness programs.
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Access to learning and certification sponsorships.
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Opportunity to work on cutting-edge Azure data technologies.
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Collaborative, innovative, and growth-oriented work culture.
