
Chief Data Solutions Engineer
5 days ago
We are seeking an experienced data architect to spearhead the design and implementation of cutting-edge data solutions.
The ideal candidate will possess a strong background in computer science and IT, with a minimum of 4-8 years of experience building and deploying complex data pipelines and data solutions.
Key Responsibilities:
- Develop and implement data & dashboarding solutions to maximize customer value.
- Deploy and automate data pipelines and dashboards to enable further project implementation.
- Collaborate with a diverse team to build end-to-end data ingestion pipelines and implement and deploy dashboards.
- Make data available for other teams within the organization to enable the platform vision.
- Communicate proactively to provide the best possible solution.
- Participate in the refinement process as part of Scrum methodology.
- Collect feedback and improve existing standardized products.
- Execute projects from conception through client handover with a positive contribution on technical performance and the organization.
Required Skills and Qualifications:
- Bachelor's or master's degree in computer science, IT, or equivalent.
- Minimum of 4-8 years of experience building and deploying complex data pipelines and data solutions.
- Experience deploying data pipelines using technologies like Databricks.
- Hands-on experience with Java.
- Hands-on experience in Databricks.
- Experience with visualization software, preferably Splunk (or else Grafana, Prometheus, PowerBI, Tableau, or similar).
- Strong experience with SQL , Java with hands-on experience in data modeling.
- Experience with Pyspark or Spark to deal with distributed data.
- Good knowledge on Splunk (SPL)
- Experience with data schemas (e.g. JSON/XML/Avro).
- Experience in deploying services as containers (e.g. Docker, Kubernetes).
- Experience in working with cloud services (preferably with Azure).
- Experience with streaming and/or batch storage (e.g. Kafka, streaming platform) is a plus.
- Experience in data quality management and monitoring is a plus.
- Strong communication skills in English.
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