Data Architectural Expert

1 day ago

Surat, Gujarat, India beBeeSoftwareEngineer Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Job Title: Senior Software Engineer/ Technical Specialist

As a seasoned Senior Software Engineer/Technical Specialist, you will play a pivotal role in designing and implementing cutting-edge data architectures that drive business growth.

The ideal candidate will possess a strong background in Azure Data Engineering, with expertise in SQL, T-SQL, and Python for data processing and transformation.

  • Develop and optimize ETL/ELT pipelines using Azure Data Factory (ADF), Databricks, and Synapse Analytics to ensure seamless data ingestion, transformation, and orchestration.
  • Design and implement scalable data architectures following Medallion Architecture and best practices to meet the evolving needs of our clients.
  • Perform data ingestion, transformation, and orchestration across structured and unstructured datasets using Azure Data Lake Storage (ADLS) Gen2.
  • Write and optimize SQL queries for data extraction, transformation, and analysis to deliver actionable insights.
  • Implement CI/CD pipelines for data workflows using Azure DevOps to ensure agility and efficiency.
  • Collaborate with stakeholders to understand data requirements and ensure data availability through effective communication and project management skills.
  • Ensure data governance, security, and compliance in Azure-based data solutions by adhering to industry standards and best practices.
  • Monitor and troubleshoot data pipelines to maintain reliability and performance by leveraging your analytical and problem-solving skills.
  • Stay updated with the latest Azure and big data technologies and implement best practices to drive innovation and excellence.
  • Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken.
  • Carrying out POCs to make sure that suggested design/technologies meet the requirements.
Required Skills and Qualifications
  • Strong experience in Azure Data Engineering with Data Factory, Synapse, Fabric, Databricks.
  • Expertise in SQL, T-SQL, and Python for data processing and transformation.
  • Hands-on experience with PySpark for big data processing.
  • Experience in designing ETL/ELT pipelines and working with large datasets.
  • Proficiency with Azure Data Lake (ADLS) Gen2 for data storage and processing.
  • CI/CD and DevOps knowledge, including Azure DevOps, Git, and automated deployments.
  • Understanding of

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