Lead Data Analytics Engineer for Advanced Solutions
1 week ago
We are seeking a Lead Data Analytics Engineer to join our innovative team at Cornerstone OnDemand. This role offers the opportunity to lead the design, development, and maintenance of advanced analytics solutions that drive actionable insights for our clients.
About the Team:We are a dynamic and innovative team dedicated to building cutting-edge data analytics products that empower businesses to make informed decisions. As a leader in the industry, we are committed to pushing the boundaries of data analytics and delivering exceptional results.
Job Description:This is a hybrid role that requires expertise in Looker and Google Cloud Platform (GCP). The ideal candidate will have at least 10 years of overall experience in data engineering, including a minimum of 5 years working with Looker and GCP. In this role, you will lead the design, development, and maintenance of LookML models and dashboards in Looker. You will also collaborate with cross-functional teams to gather requirements and translate business needs into technical solutions.
You will be responsible for building and optimizing data pipelines on Google Cloud Platform (GCP) to ensure the timely and accurate delivery of data to our analytics platform. Additionally, you will perform data analysis to identify trends, patterns, and insights that drive business decisions.
Mentorship is also an essential aspect of this role. You will mentor and coach junior developers to foster their growth and development. To excel in this position, you should have strong analytical and problem-solving skills, with a keen attention to detail. Excellent communication and interpersonal skills are also required, with the ability to collaborate effectively with cross-functional teams.
Required Skills and Qualifications:- Bachelor's degree in Computer Science, Engineering, or related field.
- Minimum of 5 years of experience working with Looker, including expertise in LookML modeling and dashboard development.
- 10+ years of overall experience in data engineering, with a strong background in building and optimizing data pipelines.
- Proficiency in SQL, Python, and other relevant programming languages.
- Experience working in an Agile environment and leading a team of developers.
A salary range of $180,000 - $220,000 per year is expected, based on your level of experience and qualifications. If you have experience with Google Cloud Platform (GCP) services such as BigQuery, Cloudrun, that's an extra plus. And if you have a Looker certification or equivalent professional certification, even better.
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