Senior Data Engineer at Red Hat designing and optimizing 데이터 솔루션 supporting sales and forecasting. Collaborating with teams and applying modern data engineering practices to ensure data quality.
About the role
- Business Data Engineer developing data pipelines and reporting analytics insights. Experience with Databricks, PowerBI, and advanced SQL required.
Responsibilities
- Design, develop, and maintain data pipelines and workflows for ingestion, transformation, and delivery of clean, reliable business data for analysis and reporting.
- Collaborate with business teams to gather requirements, perform data validation, and support UAT/demos.
- Extract, integrate, and transform data from diverse systems — including Workday, Salesforce, on-prem and SaaS applications — using APIs, JDBC/ODBC, and native/direct connections.
- Write and optimize advanced SQL for data modeling, transformation, and cost-efficient query execution.
- Build and optimize Power BI datasets, models, and dashboards for business insights and performance tracking.
- Use Databricks Notebooks with Python and/or Scala for data preparation, automation, and analysis.
- Monitor and optimize compute resources and job performance for cost control and efficiency.
- Document data pipelines, transformation logic, and architecture for transparency and maintainability.
Requirements
- 2–5 years in a Data Engineering or Business Data Analysis role.
- Strong hands-on experience with Databricks (including Delta Lake, Spark SQL, and Notebooks).
- Strong working knowledge of Power BI (data modeling, DAX, dashboard design, publishing).
- Advanced SQL skills for large-scale data transformation and optimization.
- Proficiency in Python and/or Scala for data processing in Databricks.
- Proven experience with Fivetran or similar ETL/ELT tools for automated data ingestion.
- Experience integrating data from Business Applications like Workday and Salesforce (via APIs, reports, or connectors).
- Ability to manage and transform data from on-premises and cloud systems.
- Strong communication skills with experience in business requirement gathering and data storytelling.
- Bachelor’s degree in Computer Science, Data Engineering, Information Systems, Statistics, or a related field.
- Relevant certifications (e.g., Databricks Certified Data Engineer, Microsoft Power BI Data Analyst, Workday Reporting Specialist) are a plus.
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