Data Engineer
6 days ago
Must-Have Skills:
- Experience in data analysis using tools such as Tableau, ThoughtSpot, or Grafana.
- Strong SQL and dbt experience for data transformation.
- Stakeholder management for individual dashboards, including consulting and proactive engagement.
Nice-to-Have Skills:
- Familiarity with Snowflake and other RDBMS solutions, GitLab, dbt, and Tableau.
- Experience with governance tools such as Collibra and Monte Carlo.
- Knowledge of Data Vault 2.0 modeling methodology.
- Proficiency in Python, Talend, and ThoughtSpot is a plus.
Project Overview:
We are seeking a skilled Data Engineer to join our Site Service Data & Insights (SSDI) DataOne project. The role involves ingesting data from source systems using technologies such as Python and Talend, modeling data following the Data Vault methodology, and transforming data.
,[Data Engineering & Transformation: Ingest data from source systems, model data using Data Vault methodology, and transform data for business use., Data Visualization: Develop dashboards based on DP schema, ensuring alignment with business stakeholders' expectations. Engage with stakeholders to understand business processes and logic., Agile Methodology: Participate in SSDI Sprint Planning, Review, and Retrospective meetings. Estimate task efforts, select tasks to work on, present completed work to stakeholders, and gather feedback., Technical Expertise: Understand the DataOne technology landscape and utilize tools that align with SSDI's long-term goals.] Requirements: Data analysis, Tableau, Grafana, SQL, dbt, Stakeholder management, Snowflake, RDBMS, GitLab, Vault, Python, Talend-
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