Data Engineer with ML, Data Scientist, Data Pipeline Experience.

4 weeks ago


Bentonville, United States Diligente Technologies Full time

Core skills:

Data engineering, Data analysis, Data science, Machine Learning, hypotheses & statistical data inference knowledge.

Experience managing data pipelines, large scale of data,

Expertise with: Kubernetes, Python, SQL, Pyspark, GCP, Azure, and Kubernetes.


Being able to talk about

ML, Data scientist, etc. People with background in statistical skills, etc.


Responsibilities:

  • Experience building robust large-scale data pipelines and storage solutions using Python, Pyspark, Databricks, Google/Azure clouds, WCNP, Apache Airflow, and other relevant tools.
  • Experience with batch processing/scheduling frameworks like Apache Airflow, and event processing frameworks like Apache Kafka/Streams etc.
  • Experience designing and managing datawarehouses and datalakes like BigQuery, GCS, Deltalake. Reporting/Dashboarding tools like Google looker, Tableau, MS Power BI. Familiarity with automated ML frameworks like Vertex.ai or Element.
  • Experience with data-quality and pipeline-health monitoring and alerting solutions like Prometheus, Grafana, Splunk etc. Good understanding of DevOps and MLOps practices.
  • Solid understanding of data engineering, data analysis, and data visualization disciplines.

Notes:

  • Bachelor's degree in Computer Science or equivalent is required. Strong expertise in data analysis, data visualization, and machine learning algorithms.
  • Position requires candidate to work from our Bentonville office at least 2 days of the week. Strong communication skills to effectively convey complex technical concepts to non-technical stakeholders.
  • Must be able to deliver with little to no supervision or support, as this will be a new team we are building in Bentonville.



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