Sr Azure Data Engineer

4 weeks ago

Stamford, United States Top Prospect Group Full time

150-155k + Bonus + Benefits / Stamford CT / Onsite


The Principal Data Engineer responsibilities include:

  • Provide support in designing and overseeing enterprise-grade data pipelines and data stores, essential for the development of advanced analytics programs, machine learning models, and statistical methods.
  • Implement automation and streamline processes to optimize the entire data and analytics platform, ensuring efficient throughput and high-performance outcomes.
  • Recognize, devise, and execute internal process enhancements, including automation of manual tasks, optimizing data delivery, and redesigning architecture or infrastructure to enhance scalability.
  • Collate large, intricate datasets that align with functional and non-functional business demands.
  • Develop processes that facilitate data transformation, manage data structures, metadata, dependencies, and workload management.
  • Collaborate with business users to understand functional and data requirements, contributing to the enhancement of data models and pipelines.
  • Apply expert-level analytical and problem-solving skills to diagnose and resolve intricate technical issues.
  • Create, maintain, and continuously enhance scalable data pipelines, while also developing new data source integrations to accommodate the growing volume and complexity of data.
  • Designing, implementing, and managing data extraction, transformation, and loading (ETL) processes.
  • Creating comprehensive technical specification documents and application interface designs.
  • Creating data processing and integration solutions for both batch and real-time scenarios, proficiently handling structured and unstructured data.
  • Leading and participating in design discussions, code reviews, and project-related team meetings.
  • Providing mentoring and guidance to junior team members, promoting a culture of knowledge sharing and collaborative problem-solving.


Qualifications

  • Exhibit a thorough understanding of Data Lake architectures, including raw, enriched, and curated layer concepts, and ETL/ELT operations.
  • Exhibit a solid understanding of database design, data warehousing concepts, big data platforms, and ETL operations.
  • Experience working with data integration techniques & self-service data preparation.
  • Experience in requirements analysis, design, and prototyping.
  • Experience deploying modern data solutions leveraging components like Azure functions, Azure Databricks, Azure Data Factory, Data Flows, Azure Data Lake, Azure SQL, Azure Synapse, Streaming Analytics.
  • Experience with DevOps tools like Azure DevOps, Jenkins, Maven etc.
  • Experience in building/operating/maintaining fault tolerant and scalable data processing integrations.
  • Experience with SQL.
  • Demonstrated experience of turning business use cases and requirements into technical solutions.

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