Job DescriptionAgileEngine 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- Tasking with feature engineering, understanding our sales teams goals, identifying opportunities for sales to engage with their clients, and light data engineering where appropriate;- Initial tasks will be to predict likelihood that, when a sales rep reaches out,a client will buy a specific product;- Analyzing, designing, and implementing efficient data pipelines (ETLs) to work together Data Engineers teammates to integrate data from various sources into Indeed's data platforms;- Designing and implementing data model changes that align with data standards;- Work with existing APIs written in Flask (python);- Crafting ideal opportunity types and cohorts for sales to work;- Monitoring production data pipelines daily to ensure completion, maintain data quality, and address performance issues;- Reading and interpreting system logs to evaluate system health or perform root cause analysis;- Identifying pipeline issues and working with colleagues, vendors, and external teams to resolve;Clearly communicating pipeline statuses with management and stakeholders.Must haves- Ideally a bachelor's degree in computer science, computer engineering, or an engineering discipline;- 5+ years of industry experience in software development and / or data science with strong expertise in fast-paced and deliver-focused environments;- 2+ years of experience building ML models in a sales type environment;- Extensive production experience in SQL;- Extensive experience building an ETL from scratch;- 3+ years of experience with Python / Flask;- 3+ years of hands-on experience with big data technologies (such as Redshift, Hive, Trino / Presto, or similar technologies);- Experience with modeling data;- Experience in Athena;- Experience with MySQL;- Experience in Gitlab CI;- Experience in AWS cloud platform (SQS, S3 services);- Extensive experience in writing technical documentation;Upper-intermediate English level.Nice to haves- Experience in Spark;- Experience in Tableau or Google Data Studio;ETL work will be in Dagster but may not be a primary focus of the individual.The benefits of joining usProfessional growthAccelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.Competitive compensationWe 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 projectsJoin projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.FlextimeTailor 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- Ideally a bachelor's degree in computer science, computer engineering,or an engineering discipline; 5+ years of industry experience in software development and / or data science with strong expertise in fast-paced and deliver-focused environments;- 2+ years of experience building ML models in a sales type environment; Extensive production experience in SQL; Extensive experience building an ETL from scratch;- 3+ years of experience with Python / Flask; 3+ years of hands-on experience with big data technologies (such as Redshift, Hive, Trino / Presto, or similar technologies);- Experience with modeling data; Experience in Athena; Experience with MySQL; Experience in Gitlab CI; Experience in AWS cloud platform (SQS, S3 services);Extensive experience in writing technical documentation; Upper-intermediate English level.
