Senior Data Engineer
RemoteUnited States
United StatesRemotePart TimeSenior LevelBachelors DegreeStartup
Part TimeSenior LevelBachelors DegreeStartup
Job Summary
Design, develop, and maintain high-performance ETL/ELT pipelines to extract, transform, and load data from sources such as Oracle using tools like Informatica and Talend. Create and optimize data models and schemas in Snowflake and Redshift to support AI/ML solutions and customer data delivery. Ensure data quality, integrity, and governance by implementing monitoring, validation, and automated alerting mechanisms. Collaborate with cross-functional teams to understand data requirements and stay current with emerging trends in data engineering. This role requires 8-10 years of experience and is based remotely.
Required Qualifications
- 8-10 years of experience in building and maintaining ETL/ELT data pipelines using tools such as Informatica, Pentaho Data Integration, or other third-party tools
- 5+ years of hands-on experience with relational databases such as Oracle and data modeling
- Strong programming skills in Python, SQL, or Scala
- 3+ years of experience on data warehouse platforms such as Snowflake and Redshift
- Familiarity with data governance, security, and compliance best practices
- Keen eye for data accuracy, completeness, and privacy
- Familiarity with cloud services such as AWS and Azure
- Familiarity with version control systems (e.g., Git), JIRA, Confluence
- Experience in delivering customer-facing SaaS solutions
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
- Strong problem-solving skills and the ability to optimize data processing workflows
- Excellent verbal and written communication and teamwork skills
Desired Qualifications
- Experience with AI and machine learning applications
- Understanding of containerization technologies like Docker
- Knowledge of CI/CD pipelines and DevOps practices
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