Senior Cloud Data Solutions Architect

5 days ago

Mount Abu, Rajasthan, India beBeeDataEngineer Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Job Title: Senior Software Engineer/ Technical Specialist

Job Description
  • Develop and optimize ETL/ELT pipelines using Azure Data Factory (ADF), Databricks, and Synapse Analytics for high-performance data processing.
  • Design and implement scalable data architectures following Medallion Architecture and best practices to ensure reliable and efficient data management.
  • Perform data ingestion, transformation, and orchestration across structured and unstructured datasets using PySpark and other big data tools.
  • Develop and maintain data lake solutions in Azure Data Lake Storage (ADLS) Gen2 for secure and compliant data storage.
  • Write and optimize SQL queries for data extraction, transformation, and analysis to provide actionable insights.
  • Implement CI/CD pipelines for data workflows using Azure DevOps to streamline development and deployment.
  • Collaborate with stakeholders to understand data requirements and ensure data availability through effective communication and project management.
  • Ensure data governance, security, and compliance in Azure-based data solutions by implementing best practices and policies.
  • Monitor and troubleshoot data pipelines to maintain reliability and performance through proactive issue resolution.
  • Stay updated with the latest Azure and big data technologies and implement best practices to drive innovation and improvement.
  • Resolve issues that are raised during code/review through exhaustive systematic analysis of the root cause and justify the decision taken to ensure quality and consistency.
  • Carry out POCs to ensure suggested design/technologies meet the requirements by testing and validating assumptions.
Required Skills and Qualifications
  • Strong experience in Azure Data Engineering with Data Factory, Synapse, Fabric, Databricks, and expertise in SQL, T-SQL, and Python for data processing and transformation.
  • Hands-on experience with PySpark for big data processing, 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 data modeling, data warehousing, and schema design principles to ensure data integrity and consistency.
About Us

As a global technology company, we have over two decades of core IT experience. Our technological prowess is backed by unwavering support on a wide range of technologies and industry-leading platforms.

We pride ourselves on building innovative, efficient, and robust IT solutions for our clients. We match client business goals with our technology expertise and immaculate execution capabilities to solve issues that matter to end-users.

With hundreds of products and applications developed, countless processes redefined, numerous technology teams and systems built, and significant financial results delivered to customers from diverse verticals, we believe in empowering our people to perform and grow.

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