Over deze vacature
Lead Data Engineer Job at Openkyber, Indiana
Start/End Dates: 9/28/2026 - 4/16/2027
Tax Work Location: US - CA - Remote
Job Title: Data Analytics & Engineering - Data Engineer IV
Strong experience with SQL and Python for large-scale data engineering.
Experience building and validating product logging and data quality frameworks.
Experience building dashboards and analytics reporting solutions.
Familiarity with AI-native analytics and dev tools
Client is seeking a skilled Data Engineer for a temporary assignment. In this role, you will support our data infrastructure and analytics initiatives, working with cross-functional teams to deliver high-quality data solutions.
Design, build, and maintain scalable data pipelines and ETL processes.
Collaborate with data scientists, analysts, and engineering teams to deliver reliable data solutions.
Ensure data quality, integrity, and security across all data systems; implement automated monitoring and anomaly detection.
Develop dashboards and reporting solutions that support product goal tracking and decision-making.
Leverage and develop AI-native tools and workflows to accelerate data engineering velocity.
Troubleshoot and resolve data-related issues in a timely manner.
Document data workflows, processes, and best practices, contributing to a culture of knowledge sharing and operational excellence.
Bachelor's degree in computer science, Engineering, Mathematics, or a related field, or equivalent practical experience.
Proven experience in data engineering, including building and maintaining ETL pipelines.
Proficiency in SQL and at least one programming language (e.g., Python, Java, or Scala).
Experience with data warehousing solutions (e.g., Snowflake, Redshift, Big Query) and cloud platforms (e.g., AWS, Google Cloud Platform, Azure).
Strong problem-solving skills and attention to detail.
Excellent communication and collaboration abilities.
For applications and inquiries, contact:hirings@openkyber.com
Temporary work, Remote work
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