Azure Data Systems Engineer

15 hours ago

Pune, Maharashtra, India beBeeData Full time US$ 1,20,000 - US$ 1,85,000

Job Opportunity: Data Architect

About the Role:

We are seeking a highly skilled Data Architect to design, build and maintain large-scale data systems using Azure.

  • Design and develop high-performance data architectures prioritizing best practices, building reliable data pipelines using Azure Data Factory, ADF, Azure Databricks and Azure Synapse Analytics to support ETL ELT processes into Data warehouses.
  • Support data integration, batch and real-time storage, processing and infrastructure ensuring scalability, reliability and performance of data systems.
  • Manage and optimize database systems, including building and updating stored procedures and functions.
  • Manage structured and unstructured data within Azure Data Lake Storage, ADLS, and Azure SQL Database.
  • Design and implement database schemas, dashboard schemas and data pipelines to support business requirements.
  • Develop real-time data processing solutions using Azure Stream Analytics, Azure Event Hubs and Azure Functions.
  • Build batch processing systems for large datasets using Azure Data Factory and Azure Databricks.
Requirements:
  • Must have a full-time Bachelor's degree in Computer Science or similar from a top tier school.
  • At least 5 years of experience as a data engineer, ETL development and database management with strong expertise in Azure.
  • 5 years of experience with Azure DevOps, Azure Cloud Platform, and other hyperscalers.
  • Proven experience delivering projects for Data and Analytics tools and technologies as a data architect.
  • Experience with delivering on business application data requirements.
  • Expertise in SQL and building ETL pipelines, including experience with Azure Data Factory, Azure Databricks, Azure Stream Analytics, Azure Event Hubs.
  • Expertise in databases and data warehousing, including experience with Kimball Methodology, Azure SQL, Azure Synapse.
  • Experience with programming languages, including experience with one or more of the following, Python, Java, Scala.

Required Skills: Strong programming skills in one or more languages such as Python, Scala, proficient in writing efficient and optimized code for data integration, storage, processing and manipulation. Strong understanding and experience with SQL and writing advanced SQL queries, database design and optimization techniques. Strong understanding of software development lifecycle, SDLC, including Agile methodologies. Strong knowledge of SDLC tools and technologies Azure DevOps, including project management software Jira, Azure Boards or similar source code management GitHub, Azure Repos or similar CI CD system Azure DevOps, GitHub actions or similar and binary repository manager.

Nice to Have Skills: Experience with NoSQL databases, including Azure Cosmos DB. Skilled in Data Integration from different sources such as APIs, databases, flat files, event streaming. Strong experience in designing and implementing Data Warehousing solutions in Azure with Azure Synapse Analytics. Strong experience in designing and implementing efficient ELT ETL tools, frameworks and processes in Azure and using open source solutions being able to develop custom integration solutions as needed. Strong experience with scalable and distributed Data Processing Technologies such as Spark PySpark and Azure Event Hub to be able to handle large volumes of data. Strong experience in Orchestration using technologies like Apache Airflow. Excellent analytical and Problem-Solving skills to identify and address technical issues, performance bottlenecks and system failures.

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