Descrição da Vaga
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 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 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 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.
Esta vaga foi obtida de um site de empregos.
