Senior Data Solutions Engineer

7 days ago

Dindigul, Tamil Nadu, India beBeeDataEngineering Full time ₹ 18,00,000 - ₹ 21,00,000

Data Engineering Opportunity

Job Description:

As a skilled data engineer, you will play a pivotal role in designing and implementing robust, scalable data platforms. Your expertise will be instrumental in delivering high-quality, reliable data solutions that drive business growth.

Key Responsibilities:

  • Design and Develop Data Pipelines: Design, build, and maintain efficient data pipelines to ingest, transform, and load data from various sources into the 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 data lake. 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 various 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.

Required Skills and Qualifications:

  • 4+ years of proven experience with key Azure data services, including Data Factory, Synapse Analytics, Data Lake Storage, and Databricks.
  • Strong proficiency in SQL and at least one programming language such as Python or Spark.
  • Solid understanding of data warehousing principles, data modeling (dimensional modeling, etc.), and ETL/ELT concepts.
  • CI/CD: Experience with version control systems like Git and Continuous Integration/Continuous Deployment (CI/CD) practices using Azure DevOps.

Benefits of this role include working effectively with cross-functional teams, excellent analytical and problem-solving skills, and strong verbal and written communication skills to articulate technical concepts to both technical and non-technical stakeholders.

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