Data Engineer (CE50SF RM 3328)

Position: Data Engineer (CE50SF RM 3328)

Education Required: Bachelor’s / Masters / PhD: Bachelor’s or master’s in computer science, Statistics, Mathematics, Data Science, Engineering

Must have skills:
visualization tools such as Power BI, Tableau, or Looker, ETL, Azure data factory, SQL Stored procedure, performance tuning

Good to have skills:
statistical modeling, predictive analytics, or machine learning

Expectation:
We are seeking a detail-oriented and analytical experienced Data Engineer. The ideal candidate will be responsible for collecting, analyzing, and interpreting large datasets across various data sources to drive business decisions and strategy. This role requires strong technical skills, a passion for data, and the ability to communicate actionable insights through reporting.

• Collect, clean, and validate data from various sources to ensure accuracy and consistency.
• Analyze large datasets to identify trends, patterns, and actionable insights that support business objectives.
• Develop and maintain dashboards and reports using visualization tools such as Power BI, Tableau, or Looker.
• Collaborate with stakeholders to understand business needs and translate them into data-driven solutions.
• Present findings, insights, and recommendations to both technical and non-technical audiences in a clear and concise manner.
• Monitor key performance indicators (KPIs) and provide regular updates to business units.
• Support data governance and data quality initiatives to enhance overall data integrity.

Preferred Skills:

• Experience in statistical modeling, predictive analytics, or machine learning.
• Familiarity with cloud-based data platforms (e.g., Azure).
• Ability to work in a fast-paced environment and manage multiple priorities

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