Apply📍 USA
🧭 Full-Time
💸 220000.0 - 240000.0 USD per year
🔍 Personal finance
- A minimum of 8 years of experience in data engineering, focusing on data pipeline development and cloud solutions.
- Bachelor’s or master’s degree in computer science, IT, Data Science, Engineering, or a related field.
- Experience in building and leading technical teams.
- Proven experience managing scalable data platforms, preferably in AWS.
- Expertise in AWS services such as S3, Airflow, DBT, GLUE, and LAMBDA.
- Proficient in SQL and with at least one programming language (Python, Java, or Scala).
- Strong understanding of data warehousing, ETL processes, and data governance.
- Excellent problem-solving and communication skills.
- Architect and design scalable data solutions considering business needs and industry trends.
- Enforce common data design patterns and establish architecture standards.
- Monitor data platform performance and implement improvements.
- Implement security measures for sensitive data.
- Mentor junior team members and promote a culture of learning.
- Communicate complex data concepts to non-technical stakeholders.
- Develop training materials and conduct training sessions.
- Document designs and maintain project documentation.
- Partner with team leads for internal process improvements.
AWSLeadershipPythonSQLDesign PatternsETLJavaPeople ManagementSnowflakeStrategyAirflowData engineeringServerlessCommunication SkillsDocumentationScala
Posted 17 days ago
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