Description
You will design and build data pipelines and architecture to support enterprise analytics requirements.
Responsibilities
- Design and build ETL processes and data pipelines using various technology languages.
- Develop and maintain a data warehouse including extraction, loading, and data modeling functions.
- Assemble, clean, and manage big data to build analytic tools and visualizations.
- Automate manual data wrangling processes and optimize system performance.
- Partner with analytics teams to collect requirements and ensure data quality.
Required Skills
- Proficiency in Python and SQL.
- Experience with ETL development and data warehousing.
- Strong understanding of data structures and data modeling.
- Practical knowledge of Big Data handling.
- Experience with transaction processing.
- Bachelor's Degree in Computer Science, Engineering, Data Science, or an equivalent field.
- 7+ years of professional experience.
Preferred Skills
- Experience with PowerBI and R.