
Data Engineer
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Position Overview:
Master Works is seeking a talented Data Engineer to join our dynamic team. In this role, you will be responsible for designing, constructing, and maintaining the data architecture and data pipelines that support our data-driven decision-making process. Your expertise will help us manage and utilize our data resources efficiently.
Key Responsibilities:
⢠Develop and implement data ingestion processes to ensure streamlined flow of data into the system.
⢠Design and maintain scalable data pipelines and architectures for optimal performance and reliability.
⢠Collaborate with data scientists and analysts to gather requirements and deliver data solutions that meet business needs.
⢠Ensure data quality and integrity through rigorous testing and validation.
⢠Monitor the performance of data pipelines and troubleshoot any issues as they arise.
⢠Create documentation for data models, workflows, and processes for future reference and onboarding.Requirements
Qualifications:
⢠Bachelorās degree in Computer Science, Engineering, or a related field.
⢠3+ years of experience in data engineering or a similar role.
⢠Proficient in SQL and familiar with NoSQL databases.
⢠Strong programming skills in languages like Python, Java, or Scala.
⢠Experience with data warehousing and ETL tools.
⢠Excellent problem-solving skills and attention to detail.
⢠Ability to work collaboratively in a team-oriented environment.
Requirements
- ā¢Bachelorās degree in Computer Science, Engineering, or a related field
- ā¢3+ years of experience in data engineering or a similar role
- ā¢Proficient in SQL and familiar with NoSQL databases
- ā¢Strong programming skills in languages like Python, Java, or Scala
- ā¢Experience with data warehousing and ETL tools
- ā¢Excellent problem-solving skills and attention to detail
- ā¢Ability to work collaboratively in a team-oriented environment
Responsibilities
- ā¢Develop and implement data ingestion processes
- ā¢Design and maintain scalable data pipelines and architectures
- ā¢Collaborate with data scientists and analysts to gather requirements
- ā¢Ensure data quality and integrity through rigorous testing and validation
- ā¢Monitor the performance of data pipelines and troubleshoot issues
- ā¢Create documentation for data models, workflows, and processes
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