As a Data Engineer at OutsideCapital, you'll play a key role in managing and transforming data using advanced tools. This position is ideal for someone with a strong background in cloud platforms and ETL processes.
OutsideCapital is focused on leveraging data to drive business decisions and enhance operational efficiency. As a Data Engineer, your main responsibility will be to design, implement, and maintain ETL processes that ensure data is accurately transformed and made accessible for analysis. You will work closely with data scientists and analysts to understand their data needs and provide them with the necessary infrastructure to perform their tasks effectively.
In your day-to-day work, you will utilize tools such as Google Cloud Platform and BigQuery to manage large datasets. Your expertise in Python and SQL will be crucial for writing scripts that automate data processing and ensure data integrity. You will also be responsible for monitoring the performance of data pipelines and troubleshooting any issues that arise.
This role is suited for someone who enjoys working with data and has a strong technical background. You should be comfortable with cloud technologies and have experience in building scalable data solutions. Attention to detail and problem-solving skills will be essential as you work to optimize data workflows and improve data accessibility for the team.
Key requirements for this position include: • Proficiency in Google Cloud Platform and BigQuery • Strong programming skills in Python and SQL • Experience in designing and maintaining ETL processes • Ability to collaborate with cross-functional teams to meet data needs
If you are passionate about data engineering and want to contribute to a forward-thinking company, OutsideCapital could be the perfect fit for you.
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