Job Description
As a Data Engineer, you'll be instrumental in fortifying our data infrastructure. Your responsibilities include maintaining robust data pipelines, ensuring data quality, and fostering data-driven decisions. Proficiency in SQL and Google Sheets/Excel is key, while Python skills are a plus. We value learning and adaptability as much as expertise.
- Responsibilities:Write and optimize SQL queries for diverse data requirements, understanding revenue queries.
- Maintain accurate, reliable data in Google Sheets/Excel for reporting and analytics.
- Collaborate on data visualization and contribute to informed decision-making.
- Contribute to database design, security adherence, and optimization.
- Assist in developing and managing data pipelines and ETL processes, exploring cloud environments like AWS or Azure.
- Qualifications:Proficiency in SQL and Python, adept at data manipulation and scripting.
- Experience in data modeling, database design
- Bachelor's degree in Computer Science or related fields.
- Strong problem-solving and analytical skills with effective teamwork abilities.
- Excellent communication and collaboration skills.
- Preferred Skills:Experience in data analysis, statistics, or machine learning is a plus.
- Data visualization proficiency and additional certifications in data engineering technologies are advantageous.
- Benefits:Competitive salary and comprehensive benefits package.
- Free meals/snacks, paid leaves, and opportunities for professional growth.
- Collaborative, innovative work environment.