Lead Data Engineer

hace 3 semanas

Mexico City AgileEngine A tiempo completo

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


  • Migrate Indeed search index builders from old framework to Apache Spark and AWS;

  • Providing Apache Spark best practices and mentoring;

  • Producing high-quality code;

  • Communication with Engineering & Product management;

  • Alignment with existing development teams.


Must haves 


  • 4+ years experience in software development in preferably Big Data Projects like Hadoop eco-systems;

  • Should have experience with Kafka, Spark;

  • Practical experience implementing Apache Spark jobs: knowing its features on partitioning, grouping, joins, importing the data into the cluster, exporting the data from the cluster;

  • BS in Computer Science or equivalent practical experience;

  • Practical experience with Java (ideally 2+ years);

  • A plus if one has experience working with AWS, specifically AWS EMR (or ability to pick it up fast), although not mandatory;

  • Upper-intermediate English level.



Nice to haves


  • Apache Hive;

  • Apache Airflow.

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.



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