Data Scientist
4 weeks ago
Job Overview
Paddlelift is seeking a skilled Data Engineer to join our team. As a key member of our data analytics team, you will be responsible for analyzing and interpreting complex data, developing data visualizations, and assisting in data-driven decision-making processes.
Key Responsibilities
- Collect and clean data from various sources, ensuring data quality and integrity.
- Conduct data analysis using statistical software, identifying trends and patterns to inform business decisions.
- Design, develop, and maintain data pipelines and ETL processes to extract, transform, and load data into data warehouses and data lakes.
- Collaborate with data analysts and scientists to support their data needs, ensuring seamless data integration and visualization.
- Stay up-to-date with the latest data engineering technologies and best practices, applying this knowledge to drive business growth and innovation.
Requirements
- 2-5 years of experience in data engineering or a related field.
- Strong proficiency in SQL, MongoDB, and Python.
- Knowledge of Kafka or experience working with real-time data processing.
- Familiarity with Big Data technologies and PySpark.
- Solid understanding of statistical concepts.
- Excellent analytical and problem-solving skills.
- Ability to work independently and as part of a team.
Preferred Qualifications
- Experience with cloud-based data platforms (e.g., AWS, GCP, Azure).
- Knowledge of data visualization tools (e.g., Tableau, Power BI).
- Experience with data governance and compliance frameworks.
About Paddlelift
Paddlelift is a leading [industry] company dedicated to [mission]. We are passionate about [values] and strive to create a culture that values [culture values].
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