Job Description AgileEngine is a top-ranking provider of software solutions to Fortune 500, Global 500, and Future 50 companies. Listed on Inc. 5000 among the fastest-growing US companies, we are always open to talented software, UX, and data experts in the Americas, Europe, and Asia. If you like a challenging environment where you're working with the best and are encouraged to learn and experiment daily, there's no better place — guaranteed! :) What you will do Responsibilities Designing and implementing efficient data pipelines (ETLs) in order to integrate data from a variety of sources into Indeed's Data Warehouse; Designing and implementing data model changes that align with warehouse standards; Providing documentation, training, and consulting for data warehouse users. Must haves 5+ years in a Data Engineering or Data Warehousing role; 5+ years creating data pipelines using cloud-based ETL tools, like AWS Glue (AWS preferred); 3+ years of hands-on experience with big data technologies (Snowflake, Redshift, Hive, Kafka, spark or similar technologies); Extensive experience working on relational NoSQL and SQL databases; Expertise in workflow management and pipeline tools such as Airflow; 5+ years coding experience (Java or Python preferred); Master's Degree (or a B.S. degree with relevant industry experience) in math, statistics, computer science, or equivalent technical field; Upper-intermediate English level 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. Requirements 5+ years in a Data Engineering or Data Warehousing role; 5+ years creating data pipelines using cloud-based ETL tools, like AWS Glue (AWS preferred); 3+ years of hands-on experience with big data technologies (Snowflake, Redshift, Hive, Kafka, spark or similar technologies); Extensive experience working on relational NoSQL and SQL databases; Expertise in workflow management and pipeline tools such as Airflow; 5+ years coding experience (Java or Python preferred); Master's Degree (or a B.S. degree with relevant industry experience) in math, statistics, computer science, or equivalent technical field; Upper-intermediate English level
