Data Solutions Architect

4 days ago

Alleppey, Kerala, India beBeeDataEngineer Full time ₹ 15,00,000 - ₹ 20,00,000
About this role

This position involves working on designing and maintaining robust data platforms using various Azure services.

As an Azure Data Engineer, you will design and maintain data pipelines to ingest, transform, and load data from various sources into the Azure data platform.

  • Data Pipeline Development:
    • Design, build, and maintain robust data pipelines to ingest, transform, and load data from various sources into the Azure data platform.
  • Data Modeling and Warehousing:
    • Develop conceptual, logical, and physical data models for data warehouses and data lakes. Optimize data for analytics and reporting using star schema, snowflake schema, and other techniques.
  • Data Lake Management:
    • Manage data storage and organization within Azure Data Lake Storage Gen2. Ensure proper folder structures, security, and data lifecycle management for raw, processed, and curated data zones.
  • Data Transformation:
    • Utilize dbt within the Azure ecosystem to transform raw data into analytics-ready datasets. Write complex SQL queries and stored procedures to cleanse, enrich, and aggregate data.
  • Azure Service Integration:
    • Integrate and work with various Azure services, including Azure Synapse Analytics, Azure Databricks, Azure Functions, and Cosmos DB, to build comprehensive data solutions.
  • ETL/ELT Processes:
    • Implement and optimize ETL and ELT processes to ensure data is moved efficiently and accurately.
  • Security and Governance:
    • Implement and maintain data security best practices. Apply Role-Based Access Control (RBAC), managed identities, and Azure Key Vault to protect sensitive data.
  • Performance Optimization:
    • Monitor and optimize the performance of data pipelines, queries, and data warehouse solutions.

Requirements

  • 4+ years of proven experience with key Azure data services.
  • Strong proficiency in SQL and at least one programming language such as Python or Spark.
  • Solid understanding of data warehousing principles, data modeling, and ETL/ELT concepts.
  • CI/CD: Experience with version control systems like Git and Continuous Integration/Continuous Deployment practices using Azure DevOps.
  • Ability to work effectively with cross-functional teams to understand requirements and deliver data solutions.
  • Excellent analytical and problem-solving skills to deliver high-quality data solutions.
  • Strong verbal and written communication skills to articulate technical concepts.

Benefits

This role offers a chance to work on challenging projects, develop new skills, and be part of a team that values innovation and collaboration.

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