Advanced Data Solutions Architect

5 days ago

Anantapur, Andhra Pradesh, India beBeeDataEngineer Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Unlock Your Potential

Do you have a passion for harnessing the power of data to drive business growth? As a skilled Data Engineer, you will play a critical role in designing and building scalable data pipelines and enterprise data solutions.

This is an exciting opportunity to join our team and contribute to our analytics, reporting, and data science initiatives. If you're looking for a challenging and rewarding role that will allow you to unleash your potential, keep reading.

Job Description:

We are seeking a talented Data Engineer with expertise in Azure, SQL Server, and Databricks. In this role, you will be responsible for:

  • Designing and developing ETL/ELT pipelines using Azure Data Factory (ADF) and Databricks for batch and real-time data processing.
  • Integrating data from various structured and unstructured sources including SQL Server, Azure SQL Database, Azure Data Lake Storage (ADLS), and external APIs.
  • Building and maintaining data models, data marts, and data warehouses using SQL Server and Azure Synapse Analytics.
  • Writing efficient and optimized SQL queries, stored procedures, views, and triggers in SQL Server.
  • Using Databricks (Spark with Python/Scala) to process large datasets for transformation and analytics.
  • Ensuring data quality, integrity, security, and compliance across the pipeline using data validation, monitoring, and auditing techniques.
  • Collaborating with data analysts, data scientists, and business stakeholders to define and deliver data solutions.
  • Implementing CI/CD pipelines using Azure DevOps.
  • Monitoring and optimizing the performance of data pipelines and queries across Azure and SQL Server environments.

Requirements:

To succeed in this role, you will need:

  • A Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
  • 5+ years of experience in data engineering or related roles.
  • Proven experience with:
  • Azure Data Services: Data Factory, ADLS, Azure SQL, Azure Synapse.
  • Databricks (Azure implementation), including experience with Spark (Python or Scala).
  • Microsoft SQL Server: Writing advanced SQL, stored procedures, and performance tuning.
  • Strong understanding of data warehousing concepts, ETL/ELT best practices, and data modelling (star/snowflake schema).
  • Familiarity with data governance, RBAC, and data security practices in Azure.
  • Experience with CI/CD tools like Azure DevOps and version control with Git.
  • Excellent problem-solving skills and the ability to work collaboratively in a fast-paced environment.

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