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Chief Data Architect
3 weeks ago
Data Engineering is a critical function in modern organizations, responsible for designing, building, and maintaining the systems that process and store data.
Key Responsibilities:- Develop and implement data pipelines using various tools such as Palantir Foundry / Workshop, PySpark, and Typescript to ensure efficient data flow.
- Maintain and improve existing data systems to guarantee data quality and integrity.
- Collaborate with cross-functional teams to identify and address data-related business needs.
- Provide expertise and guidance on data engineering best practices and technologies.
The ideal candidate will have at least 5-8 years of experience as a Data Engineer, with strong expertise in Palantir Foundry / Workshop, Pyspark, and Typescript. Strong analytical and problem-solving skills are required, along with excellent communication and collaboration abilities. The selected individual will work closely with the global engineering team to drive project initiatives forward. As part of this role, you will be responsible for developing and implementing innovative data solutions that meet the organization's needs. If you are an experienced Data Engineer looking to take your career to the next level, we encourage you to apply. Please provide examples of your experience in data engineering best practices and technologies, as well as any relevant certifications or training.
A successful Data Engineer will demonstrate a deep understanding of data engineering principles and practices, including data modeling, data warehousing, and ETL development. They will also possess strong technical skills in programming languages, databases, and data visualization tools. In addition to these technical skills, a successful Data Engineer will have excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams. They will also be able to analyze complex data sets, identify trends and patterns, and develop insights that inform business decisions.