Sr NoSQL/Python Engineer

4 months ago


Dallas, United States Pinnacle Group, Inc. Full time
  • Seeking a Data Specialist with strong hands-on experience in MongoDB.
  • Candidate must have Specialized technical knowledge of the MongoDB platform and must have knowledge on ETL tools and process.
  • The work will include database modeling, design, performance fine tuning etc.
  • Strong python, Spark, Airflow, and kubernetes background.



Responsibilities


  • Collaborate with the team as the MongoDB SME to design, build, and optimize MongoDB backend.
  • Scale and optimize performance via schema design, query tuning, and index creation
  • Build highly available, scalable, fault-tolerant infrastructure leveraging MongoDB
  • Leverage continuous build and deployment tools and practice
  • Ensure accurate documentation exists for all services and solutions
  • Ensure established SLAs are met or exceeded, with supporting reports or dashboards
  • Investigate data to identify potential issues within ETL pipelines, notify end-users and propose adequate solutions
  • Performance monitoring and tuning


Technology Skills


  • 7 plus years of experience on data modeling and database design
  • Design and development experience building a reusable REST API model or framework to consume data from and/or push data into MongoDB
  • In depth knowledge of modeling or architectural patterns, governance methodologies, and potential limitations within MongoDB
  • Knowledge of at least one ETL tool (SSIS, Informatica, Talend, etc.)
  • Modeling tools experience, such as Toad Data Modeler, Erwin, and Embarcadero
  • Experience in query optimization
  • Strong knowledge on various mechanism for data security
  • Knowledge on various MongoDB libraries and API's for different programming languages and platforms
  • Azure Cloud Experience - Python Development


Qualifications


  • 5 plus years experience in database maintenance, design, SQL coding or tuning, NoSQL document database administration.
  • 2 year experience with structured methodologies and participation in design and development of large-scale applications in a distributed computing environment.
  • Bachelor’s degree or University degree or equivalent experience.



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