Intellect Quest LLC | Azure Data Architect

1 week ago


franklin lakes, United States Intellect Quest LLC Full time

Tips: Provide a summary of the role, what success in the position looks like, and how this role fits into the organization overall.


Responsibilities

  • Extensive experience in designing and developing modern cloud data platforms
  • Complex coding with SQL, Spark, Python, T-SQL
  • Hands-on experience in Azure stack (Azure Data Lake, Azure Data Factory & Databricks) -- Mandatory
  • Expertise in Big Data Architecture, ETL and Databricks. (5-7 yrs experience in Data with one large program from end to end, 15 yrs experience) Need someone who has worked as a Data Architect/Data engineer) – Hands On Current Technology Along With Delivery. 
  • High proficiency in developing complex ETL Data Pipelines using Databricks with PySpark, manage & maintain DataLakes & Lakehouse (CDC & SCD). Experience in Unity Catalog is must
  • Strong expertise in ETL tools i.e. (Talend, SSIS, Informatica)
  • Expertise to Implementing Data warehousing Solutions
  • Good understanding of other Azure services like Azure Data Lake Analytics & U-SQL, Azure SQL DW
  • Demonstrated analytical and problem-solving skills, particularly those that apply to a big data environment
  • Good Understanding of Lambda Architecture, Data warehousing concepts
  • Good experience in data engineering, designing and optimizing data modelling techniques
  • Proficient in a source code control system such as GIT
  • Deploy the various Azure resources into the environments through Azure ARM Templates & Terraform.



Qualifications

  • Bachelor's Degree in Computer Science, Engineering, IT, Mathematics, or related field preferred
  • At least 10 to 15 years in a Data engineering role
  • Demonstrate excellent Data Science, Data engineering & automation skills in the context of cloud based global platform/product delivery using continuous integration (CI) and continuous deployment (CD)
  • Experience with MS SQL, Azure Data Factory, Docker, Containerization tools
  • Experience with multi-geo, multi-tier service design and operations
  • Delivery using modern methodologies especially SAFe Agile, Iterative, Waterfall, etc
  • Communicate fluently in English, both written and verbal
  • Excellent interpersonal communication and organizational skills to contribute as a leading member of global, distributed teams passionate about delivering quality services and solutions
  • Able to distil complex technical challenges to measurable and explainable decisions
  • Demonstrate ability to learn new and emerging technologies with ability to rapidly define engineering standards and produce automation code
  • Operational abilities including early life support and driving root cause analysis and remediation




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