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EI

Data Engineer

Expert In Recruitment Solutions
πŸ‡ΊπŸ‡Έ United States
On-site
2 months ago
  • ETL
  • ELT
  • Airflow
  • dbt
  • Prefect
  • AWS
  • Snowflake
  • Athena
  • Delta Lake
  • Python
  • Pandas
  • PySpark
  • Data Modeling
  • CI/CD
  • Git
  • SQL
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Title: Data Engineer Location: Sunnyvale CA or Austin TX or Elk Grove CA /3 days in a week hybrid onsite



We are looking for a data engineer with experience in the data analytics space. What we need to see is that a candidate has done data engineering for analytics teams β€” the full scope of what data engineering requires β€” and that the consumers of their work were data analysts or data scientists.

Core Professional Competencies
1. Communication : Clearly communicates technical work to diverse audiences, verbally and in writing. Participates in peer reviews and team discussions with clarity and purpose.
2. Documentation : Maintains clear, structured documentation of project logic, decisions, and maintenance. Contributes to team standards for reproducibility and transparency.
3. Collaboration : Works effectively with cross-functional partners. Values shared ownership and ensures continuity through knowledge sharing.
4. Initiative : Comfortable in ambiguity; proactively identifies issues and opportunities. Demonstrates curiosity and critical thinking.
5. Attention to Detail : Delivers high-quality, consistent code and documentation that supports long-term maintainability and trust in data systems.

Data Engineering Expertise (5+ years)
1. Experienced in building and maintaining data pipelines (ETL/ELT)
2. Proficient with orchestration tools (e.g., Airflow, dbt, Prefect)
3. Comfortable working with cloud platforms (e.g., AWS) and tools like Snowflake
4. Familiar with data lake and warehouse architecture (e.g., S3 + Athena, Delta Lake)
5. Strong Python skills for data manipulation (e.g., pandas, pyarrow, pyspark)

Data Infrastructure & Management (5+ years)
1. Expertise in data modeling (star/snowflake schemas, normalization, dimensional modeling)
2. Skilled in maintaining data quality and integrity (data monitoring, validation, deduplication, anomaly detection)
3. Familiar with version control, CI/CD practices for data workflows (e.g., Git)
4. Expertise in Python (5+ years)

Snowflake Is Required 2-5 Years
Data Migration Is Required 5-10 Years
Database Technologies Is Required 5-10 Years
Advanced SQL Is Required 5-10 Years
Data Engineering Is Required 5-10 Years
python Is Required 5-10 Years

Data Engineer Β· Expert In Recruitment Solutions

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