Azure Data Architect

4 weeks ago

Chennai, Tamil Nadu, India SKYLARK HR SOLUTIONS Pvt Ltd Full time

Job Title: Azure Data Architect

About the Role:

As an Azure Data Architect at SKYLARK HR SOLUTIONS Pvt Ltd, you will lead the design, development, and maintenance of Prochant Azure-based databases systems, ensuring optimal performance, scalability, and reliability.

Key Responsibilities:

  • Configure Azure tools such as Azure Data Lake, Synapse, and dbt.
  • Expertise in writing dynamic queries on Parquet files using Python.
  • Create partitions and materialized views.
  • Collaborate with cross-functional teams to understand data requirements and implement efficient database solutions.
  • Develop data pipelines and ETL processes to ingest, transform, and load data from various sources into our Azure environment using technologies like DBT, Airflow, and Blob Storage.
  • Optimize SQL queries and data models to ensure high performance and efficient data retrieval.
  • Implement and manage Azure Synapse Analytics to enable advanced analytics and reporting capabilities.
  • Utilize Parquet file format and other efficient data storage techniques to optimize data storage and processing.
  • Design and implement data warehouse solutions using star schema, facts dimension modeling, and other data warehousing best practices.
  • Monitor database systems, identify and resolve performance issues, and implement necessary improvements to ensure data integrity and availability.
  • Collaborate with the AI/ML Data Engineering team to integrate machine learning and artificial intelligence capabilities into our data infrastructure.
  • Experience with SSIS technologies for data integration, data transformation, and workflow automation.
  • Stay updated with the latest trends and advancements in database technologies, Azure Cloud Platform, and data engineering practices.

Requirements:

  • Strong experience in designing, implementing, and managing database systems, particularly within the Azure Cloud Platform.
  • Expertise in Azure services such as DBT, Airflow, Blob Storage, Serverless SQL Pool, and Synapse Analytics.
  • Proficiency in optimizing SQL queries, data models, and database performance.
  • Solid understanding of ETL processes, data warehousing, and data integration techniques.
  • Familiarity with Parquet file format and efficient data storage techniques.
  • Background experience in data warehouse designs, star schema, and facts dimension modeling.
  • Prior experience in SSIS technologies for data integration, transformation, and workflow automation.
  • Great to have experience in AI/ML Data Engineering, including integrating machine learning and AI capabilities into data infrastructure.
  • Strong problem-solving skills and ability to work independently and collaboratively in a team environment.
  • Excellent communication and interpersonal skills to effectively collaborate with cross-functional teams.
  • Proven ability to manage multiple priorities and deliver high-quality results within deadlines.

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