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Senior Data Engineer

Posted 2024-11-15

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💎 Seniority level: Senior, 7+ years

📍 Location: United States

🔍 Industry: Innovation data

🏢 Company: Cypris

⏳ Experience: 7+ years

Requirements:
  • 7+ years of proven experience as a Data Engineer or in a similar role.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • Proficiency in programming languages like Python, Java, or Scala.
  • Experience with cloud platforms such as GCP (preferred), AWS, Google Cloud, or Azure.
  • Hands-on experience with big data technologies such as Hadoop, Spark, or similar frameworks.
  • Knowledge of data warehousing concepts and experience with tools like Redshift, BigQuery, or Snowflake.
  • Familiarity with ETL tools and processes.
  • Strong problem-solving skills and attention to detail.
  • The desire to contribute and grow at an early-stage startup.
Responsibilities:
  • Design, develop, and optimize robust data pipelines to process and transform large datasets from various sources.
  • Optimize data stores' performance in terms of index response times and query response times.
  • Implement and maintain ETL processes to ensure data accuracy and integrity.
  • Collaborate with cross-functional teams to understand data requirements and deliver effective data solutions.
  • Develop and maintain data warehouses and data lakes to support business intelligence and analytics.
  • Monitor and troubleshoot data pipeline performance and reliability, implementing improvements as needed.
  • Ensure data security and compliance with relevant regulations and standards.
  • Stay up-to-date with the latest technologies and best practices in data engineering and incorporate them into our processes.
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