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Principal / Senior AI Data Engineer - Business Software

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Job Description

As a Principal / Senior Data Engineer, you will spearhead our data initiatives, transforming raw data into strategic assets that propel our business forward. This role is designed for those who excel in a dynamic environment, offering the freedom to innovate and the responsibility to deliver.

Core Responsibilities:

  • Identify and harness high-value data opportunities within our product suite, converting raw data into impactful features and reusable assets.
  • Act as the authoritative voice on data technology , steering our organization towards cutting-edge platforms and methodologies.
  • Architect and execute comprehensive data projects, ensuring robust scalability and performance from conception to deployment .
  • Collaborate with a team of ML Engineers, Data Scientists, and other key stakeholders to design, implement, and maintain data pipelines that fuel advanced analytics and AI-driven solutions .
  • Embrace the role of a data evangelist , presenting at industry conferences, leading webinars, and authoring thought-leadership content to share knowledge and influence the broader tech community.

    • Qualifications

  • A minimum of 5 years in data engineering , with expertise in scalable architectures such as Data Lakes, Graph, and Vector Databases (, ADLS, neo4j, Elasticsearch).
  • Proficiency in developing data pipelines across diverse environments, leveraging Azure and other modern technologies.
  • Proven ability to orchestrate complex data workflows and manage Kubernetes clusters on AKS , utilizing tools like Airflow, Kubeflow, Argo, and Dagster.
  • Familiarity with data ingestion tools such as Airbyte and Fivetran, accommodating a wide array of data sources.
  • Mastery of large-scale data processing techniques using Spark or Dask.
  • Strong programming skills in Python, Scala, C#, or Java, and adeptness with cloud SDKs and APIs.
  • Deep understanding of AI/ML to enhance pipeline efficiency, with experience in TensorFlow, PyTorch, AutoML, Python/R, and MLOps platforms like MLflow and Kubeflow.
  • Solid background in DevOps , including CI/CD automation with Bitbucket Pipelines, Azure DevOps, and GitHub.
  • Capability to automate the deployment of data pipelines and applications using scripting languages and infrastructure as code tools such as Bash, PowerShell, Azure CLI, Terraform, and Helm Charts.
  • Experience in utilizing Azure AI Search or Elasticsearch for sophisticated content analysis and indexing, particularly in developing RAG services with Langchain.
  • Proficiency in crafting IoT data pipelines , ensuring real-time processing, security, and integration with IoT ecosystems.
  • Skill in designing, developing, and monitoring streaming data applications with Kafka and related technologies.
  • Commitment to implementing and upholding data governance policies and standards throughout the data platform.

    • Personal Competencies:

  • A results-oriented professional with a fervent passion for innovation and a self-motivated, proactive approach.
  • Exceptional organizational skills, fluent in spoken and written English, and driving creative solutions .
  • A strategic thinker , constantly exploring the next significant advancement in data technology.

    • We invite you to join our team and lead the way in data engineering, where your expertise will be pivotal in shaping the future of our data-driven endeavors.

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