Data Architect

3 weeks ago


Ahmedabad, India Ridgeant Techonologies Full time
Job Title: Data Engineer

Job Summary:

We are seeking a highly skilled Data Engineer to join our team at Ridgeant Technologies. The successful candidate will be responsible for designing, developing, and implementing data pipelines to enable data sharing and machine learning model productionization.

Key Responsibilities:

  • Develop and implement reusable architectures of data pipelines to make data available for various purposes, including machine learning, analytics, and reporting.
  • Collaborate with system architects, data scientists, and business stakeholders to design and implement data solutions.
  • Define hardware, tools, and software to enable the reusable framework for data sharing and ML model productionization.
  • Work with structured and unstructured data in various programming languages, including SQL, R, Python, Java, and others.
  • Understand and apply metadata management systems and orchestration architecture in designing ML/AI pipelines.
  • Deep understanding of cutting-edge cloud technology and frameworks to enable data science.
  • System integration skills between Business Intelligence and source transactional systems.
  • Improve overall production landscape as required.
  • Define strategies with data scientists to monitor models post-production.
  • Write unit tests and participate in code reviews.

Requirements:

  • Expertise in programming languages such as R, Python, Scala, and Java.
  • Expert database knowledge in SQL and experience with MS Azure tools, including Data Factory, Synapse Analytics, Data Lake, Databricks, Azure Stream Analytics, and Power BI.
  • Modern Azure data warehouse skills and consulting services.
  • Expert Unix/Linux admin experience, including shell script development.
  • Exposure to AI or model development.
  • Experience working on large and complex datasets.
  • Understanding and application of Big Data and distributed computing principles (Hadoop and MapReduce).
  • ML model optimization skills in a production environment.
  • Production environment machine learning and AI.
  • DevOps/DataOps and CI/CD experience.
  • AWS experience.

Qualifications:

Bachelor's or Master's degree in Computer Science or a related field.


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