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Senior Data Engineer

Posted 10 days agoViewed

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💎 Seniority level: Senior, 5+ years

🔍 Industry: Healthcare and weight management

🏢 Company: Found👥 51-100💰 $45,999,997 Series C 7 months agoFinancial ServicesBankingFinTech

⏳ Experience: 5+ years

Requirements:
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
  • 5+ years of experience in data engineering or related areas.
  • Expertise in SQL and data manipulation languages.
  • Proficiency in data pipeline tools such as Airflow, AWS Glue, Spark/PySpark, Pandas.
  • Strong programming skills in Python.
  • Experience with data storage technologies, including Snowflake, Redshift, Databricks.
Responsibilities:
  • Design, implement, and manage robust and scalable data pipelines.
  • Develop and maintain data models for business intelligence and analytics.
  • Design and implement data warehousing solutions for large data storage.
  • Develop and optimize ETL processes to ensure data accuracy.
  • Implement data quality checks to maintain data integrity.
  • Continuously monitor and optimize data pipelines for performance.
  • Collaborate with data analysts to address data needs.
  • Create and maintain comprehensive documentation of data processes.
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