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Data Engineer/Scientist
Koloma
This job is no longer accepting applications
See open jobs at Koloma.See open jobs similar to "Data Engineer/Scientist" Amazon Climate Pledge.Data Science
Columbus, OH, USA
Posted 6+ months ago
Koloma is a geologic hydrogen company that leverages its technology, proprietary data, and human capital advantages to identify and commercialize these resources on a global scale. We are developing technologies that will enable the production of low cost, 24/7 available carbon-free hydrogen. Our team is led by seasoned energy executives and world-renowned technical thought leaders. We are looking for a fantastic Data Engineer to work with our team in Columbus, OH. Denver based applicants may also be considered.
Ideal Candidate (Requirements):
- years of experience in datasets management, preferably in the oil and gas industry, health care field, or other sectors that compile databases from diverse data formats.
- minimum of a Bachelor’s Degree in STEM field (Science, Technology, Engineering, Math).
- in programming languages such as Python, Java, or C#.
- understanding of database concepts and approaches such as SQL, PostgreSQL, MySQL, MongoDB, or Cassandra.
- with cloud platforms such as AWS, Azure, or Google Cloud platform and familiarity with services such as Amazon Redshift, AWS Glue, Azure Data Factory, or Google Cloud Dataflow.
- analytical and problem-solving ability and high attention to detail.
- organizational and time management skills to handle multiple projects.
- communication and teamwork skills with the ability to collaborate across multidisciplinary teams.
Ideal Candidate (Nice to haves):
- ArcGIS or other GIS software skills, including data analysis, mapping, presentation, and web-based applications (ArcGIS Online, ArcGIS Enterprise).
- with streaming data processing and real-time analytics platforms such as Apache Flink, Apache Kafka, or Apache Storm.
- with specialty software, including Enverus, Geolog, AIRES, or Quorum.
- of machine learning, AI concepts and frameworks such as TensorFlow, Keras, or PyTorch
- certifications such as AWS Certified Big Data Specialty or Google Professional Data Engineer.
Job Responsibilities:
- implement, and maintain robust, scalable, and efficient data pipelines to ingest, process, and transform large volumes of data from diverse sources.
- Extract, Transform, Load (ETL) processes to integrate data from various internal and external sources into centralized data repositories.
- and implement data quality checks and validation processes to ensure accuracy, completeness, and consistency of data.
- data pipeline performance and health, troubleshoot issues, and perform regular maintenance tasks to ensure uninterrupted data flow and availability.
- with cross-functional teams including data scientists, geologists, land personnel, and business stakeholders to understand data requirements and deliver solutions that meet business needs.
- up to date with the latest trends and technologies in data engineering, evaluate and recommend new tools and techniques to enhance efficiency and effectiveness of data pipelines.
Onboarding Notes:
- Koloma provides exceptional benefits including healthcare, vision, and dental and a retirement plan
- This is an in-office role in Columbus, OH. Applicants may also be considered in our Denver office. Koloma supports flexible schedules and remote work where practical, but maintaining our strong culture, focus, and momentum requires team members to be in-office for at least 80% of working hours.
- Industry-competitive compensation with significant stock option upside.
This job description is not designed to contain a comprehensive list of duties or activities that are required, and some responsibilities may change.
We will be reviewing applicants as we receive them, and the posting will remain open until 17 May 2024.
This job is no longer accepting applications
See open jobs at Koloma.See open jobs similar to "Data Engineer/Scientist" Amazon Climate Pledge.