Cloud Data Solutions Specialist

13 hours ago

Bharatpur, Rajasthan, India beBeeDataEngineer Full time ₹ 13,26,267 - ₹ 25,52,533
Job Description

We are seeking an experienced Data Engineer to join our team and contribute to the development of innovative data solutions.

The ideal candidate will have a strong background in data engineering, with expertise in designing, building, and maintaining robust and scalable data pipelines, data warehouses, and data lakes.

Responsibilities:

  • Data Pipeline Development: Design, build, and maintain efficient data pipelines to ingest, transform, and load data from various sources into the cloud-based data platform.
  • Data Modeling and Warehousing: Develop and implement conceptual, logical, and physical data models for data warehouses and data lakes. Work with star schema, snowflake schema, and other data modeling techniques to optimize data for analytics and reporting.
  • Data Lake Management: Manage data storage and organization within the cloud-based data lake storage solution. Ensure proper folder structures, security, and data lifecycle management for raw, processed, and curated data zones.
  • Data Transformation: Utilize tools like dbt (data build tool) 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 a variety of Azure services, including Synapse Analytics, Databricks, Functions, and Cosmos DB, to build a comprehensive data solution.
  • ETL/ELT Processes: Implement and optimize Extract, Transform, Load (ETL) and Extract, Load, Transform (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. Work with Microsoft Purview for data cataloging and governance.

Required Skills and Qualifications

To be successful in this role, you will need:

  • 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.
  • Experience with version control systems like Git and Continuous Integration/Continuous Deployment (CI/CD) practices using Azure DevOps.
  • Ability to work effectively with cross-functional teams to understand requirements and deliver data solutions.

Benefits

This is an excellent opportunity to work on challenging projects and develop your skills in a fast-paced environment. We offer a competitive salary and benefits package, as well as opportunities for professional growth and development.

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