Designation Azure Data Engineer

Location Bengaluru, India

Top Skills

• Cloud & Azure Technologies: Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics, and Azure Databricks/Synapse for complex stored procedures
• Programming & Scripting: Proficiency in Python, SQL (compulsory), and Scala; hands-on experience with PLSQL
• Data Expertise: Data modelling, data warehousing, and data integration concepts
• Big Data & Infrastructure: Familiarity with Apache Spark, Hadoop, and cloud infrastructure management
• DevOps & Automation: Experience with Azure DevOps, PowerShell, and automation tools for deployment and monitoring
• Data Governance & Security: Robust understanding of data governance practices, data quality management, and security principles
• Soft Skills: Strategic planning, strong communication, collaboration, and problem-solving skills
  
  

Roles And Responsibilities

• Design & Implementation: Architect, implement, and optimize end-to-end data solutions on the Azure ecosystem
• ETL Pipeline Development: Build and maintain efficient ETL pipelines using Azure Data Factory while ensuring data quality and integration with Azure Data Lake
• Stored Procedures & Analytics: Develop and fine-tune complex stored procedures within Azure Databricks or Synapse to enable advanced analytics on large-scale data (exceeding 50TB)
• Data Management: Apply your expertise in SQL, PLSQL, and data modelling to manipulate, transform, and analyze data effectively
• Collaboration: Work cross-functionally to support data-driven initiatives; utilize Azure Synapse Analytics to convert raw data into actionable insights
• Optimization & Troubleshooting: Monitor and enhance data storage, processing, and retrieval mechanisms while addressing performance issues
• Security & Governance: Enforce and maintain strong data governance, adherence to data security standards, and compliance with privacy regulations
• Process Automation: Collaborate with DevOps teams to automate deployments, configurations, and monitoring using tools such as Azure DevOps and PowerShell
  
  

Qualification

• Education: Bachelor’s degree in Computer Science, Engineering, or a related field (advanced degree preferred)
• Experience: 6–8 years of hands-on experience designing and implementing data engineering solutions in the Azure ecosystem
• Technical Expertise:
• Proficiency in developing solutions with Azure Data Factory, Azure Data Lake Storage, Azure Databricks, and Azure Synapse Analytics
• Extensive experience in SQL (compulsory) and PLSQL
• Strong background in data modelling, data warehousing, and data integration concepts
• Familiarity with big data frameworks such as Apache Spark or Hadoop is required
• Certifications: Relevant Azure certifications (e.g., Azure Data Engineer Associate or Azure Solutions Architect Expert) are preferred
• Industry Experience: Experience in a retail setup is a plus
  
  

Employee Value Proposition Join the dynamic team at Landmark Digital and play a pivotal role in driving innovation through state-of-the-art data engineering practices. You’ll work with the latest Azure technologies to design, deploy, and optimize robust data pipelines that directly influence strategic, data-driven decision-making. This role offers a collaborative environment that fosters continuous learning, career growth, and the opportunity to impact retail transformation on a global scale.

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