Diligente Technologies

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

data scientist

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 aboutML, Data scientist, etc. People with background in statistical skills, etc. Responsibilities:<ul><li>Experience building robust large-scale data pipelines and storage solutions using Python, Pyspark, Databricks, Google/Azure clouds, WCNP, Apache Airflow, and other relevant tools.</li><li>Experience with batch processing/scheduling frameworks like Apache Airflow, and event processing frameworks like Apache Kafka/Streams etc.</li><li>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.</li><li>Experience with data-quality and pipeline-health monitoring and alerting solutions like Prometheus, Grafana, Splunk etc. Good understanding of DevOps and MLOps practices.</li><li>Solid understanding of data engineering, data analysis, and data visualization disciplines.</li></ul>Notes:<ul><li>Bachelor's degree in Computer Science or equivalent is required. Strong expertise in data analysis, data visualization, and machine learning algorithms.</li><li>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.</li><li>Must be able to deliver with little to no supervision or support, as this will be a new team we are building in Bentonville.</li></ul>

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