Propelus - Data Analytics lll
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Requirements
• Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. • 3+ years of experience in data engineering, analytics engineering, or a similar role. • Proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL). • Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) and related data warehousing services (e.g., Snowflake, Redshift, BigQuery). • Familiarity with data testing frameworks. • Experience with ETL tools and techniques (e.g., Apache Airflow, dbt). • Solid understanding of data modeling principles and data warehouse architecture. • Strong analytical and problem-solving skills. • Experience with at least one programming language (e.g., Python, Java). • Good communication and collaboration skills. • Proficiency in using Git for version control and collaboration on codebase. • Benefits and Perks for Propelus employees include but are not limited to: • Awarded one of BuiltIn's 2025 Best Places to Work and honored as a Silver Stevie® Award Winner in the 2025 Stevie Awards For Great Employers. • Professional development allowance to help you grow in the ways that mean the most to you. • Flexibility for balancing work with the rest of life and ample PTO, including paid time off for volunteering, your birthday, and becoming a new parent. • Check us out for yourself at our careers page or our Propelus culture Instagram accounts. • For US Employees: • For US Employees: • 401K with company matching, as well as financial planning education and resources. • Employees can choose from HSA, FSA, and traditional insurance options for medical, dental, and vision coverage for themselves and dependents. • Lifestyle Spending Account (LSA): We support personal well-being by offering an annual lifestyle spending account that you can use for what matters most to you—whether it’s a gym membership, a meditation app, WFH equipment, or fresh produce delivered to your door. • For LATAM Employees: • Your health is our top priority! We cover 100% of your health insurance premiums. Our plans include national and international coverage, so you're protected no matter where you are. • Propelus Flex Club: Our flexible benefits platform gives you monthly points to redeem on what you need most. Plus, you'll get access to exclusive discounts just for being part of our team. • We've got you covered with a life insurance policy, paid 100% by the company. You can also add your beneficiaries at an exclusive, discounted rate.
Responsibilities
• Develop and maintain robust and scalable data pipelines to extract, transform, and load (ETL) data from various sources into our data warehouse. • Design, build, and optimize data models to support analytical needs and reporting requirements. • Collaborate with data scientists to implement and deploy machine learning models and analytical solutions. • Monitor data quality and identify and resolve data integrity issues. • Contribute to the development of data documentation and metadata management practices. • Work with stakeholders to understand their data needs and translate them into technical requirements. • Assist in the evaluation and implementation of new data technologies and tools. • Participate in code reviews and contribute to the development of coding standards and best practices. • Independently manage assigned tasks and projects, ensuring timely delivery and quality results. • Proactively identify opportunities to improve data processes and systems.
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