Python & Sql Data Engineer (Middle/Senior) Id32276

Job Description AgileEngine is one of the Inc. 5000 fastest-growing companies in the U and a top-3 ranked dev shop according to Clutch.
We create award-winning custom software solutions that help companies across 15+ industries change the lives of millions If you like a challenging environment where you're working with the best and are encouraged to learn and experiment every day, there's no better place - guaranteed!
:) What you will do Build and optimize data pipelines to ensure reliable integration and transformation; Design and maintain Snowflake tables and data models for analytics and reporting; Enhance data observability to proactively identify and resolve issues; Create dashboards and workflows to deliver business insights; Collaborate with stakeholders to ensure project transparency and success.
Must haves  +3 years of experience in data modeling principles/methods, especially Kimball ; Strong proficiency in SQL and experience working with Snowflake or similar cloud-based data warehouses; Strong proficiency in Python for data processing and automation; Hands-on experience building ETL pipelines using Apache Airflow or similar orchestration tools; Hands-on experience using DBT for data transformation, modeling, and testing; Strong experience consuming APIs and integrating data with Snowflake; Ability to develop simple Tableau dashboards; Proficiency in GitLab CI/CD workflows for continuous integration and deployment; Familiarity with AWS services, especially S3 ; Strong analytical and problem-solving skills; Innovative and productivity-driven mindset – willingness to improve and automate processes; Ability to adapt to business needs and stakeholder requirements; Ability to communicate work clearly; Upper-Intermediate English level.
Nice to haves Basic knowledge of local development using Docker; Tableau or any BI development experience.
The benefits of joining us Professional growth Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
Competitive compensation We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.
A selection of exciting projects Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.
Flextime Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.
Next Steps After You Apply The next steps of your journey will be shared via email within a few hours .
Please check your inbox regularly and watch for updates from our Internal Applicant site, LaunchPod , which will guide you through the process.
Requirements +3 years of experience in data modeling principles/methods, especially Kimball; Strong proficiency in SQL and experience working with Snowflake or similar cloud-based data warehouses; Strong proficiency in Python for data processing and automation; Hands-on experience building ETL pipelines using Apache Airflow or similar orchestration tools; Hands-on experience using DBT for data transformation, modeling, and testing; Strong experience consuming APIs and integrating data with Snowflake; Ability to develop simple Tableau dashboards; Proficiency in GitLab CI/CD workflows for continuous integration and deployment; Familiarity with AWS services, especially S3; Strong analytical and problem-solving skills; Innovative and productivity-driven mindset – willingness to improve and automate processes; Ability to adapt to business needs and stakeholder requirements; Ability to communicate work clearly; Upper-Intermediate English level.