Data Engineer

hace 3 semanas

Mérida, Yucatán, México Stx Next Sp Z.O.O A tiempo completo

About Us

At STX Next Sp. z o.o., we're a global IT consulting company specializing in customer-focused software services. Our team of 500 professionals is dedicated to helping clients build outstanding products, leveraging the latest advancements in the field and a passion for innovation.

Our Approach

We believe that every problem has a solution, often hidden and not so obvious. Our job is to work out these solutions and the best ones are born from imagination, cooperation, and being craftsmanship. We work with clients for their benefit and the benefit of their target users, often acting as consultants and architects who introduce changes and innovations.

Our Work

As a Data Engineer, you'll be assigned to a team working on a project for one of our foreign clients. Your responsibilities will include developing, inventing, and implementing solutions to process large or distributed data. You'll work with systems that process data often on a large scale.

Requirements

  • Knowledge of best practices for designing scalable data processing systems, including data pipelines, advanced ETL processes, data warehouses, and data lakes.
  • Experience with at least one cloud platform, preferably AWS, and its solutions related to data processing.
  • SQL and at least one relational database management system, such as MySQL or PostgreSQL.
  • At least one NoSQL database, such as HBase, DynamoDB, or MongoDB.
  • Working principles of distributed data processing systems, such as Apache Spark or Apache Flink.
  • Experience with Python 3.x or Scala, including advanced constructs such as lambda functions, generators, list comprehension, and principles of object-oriented programming.
  • Understanding of threading and multi-process computation.
  • Experience with code versioning tools, such as Git.
  • Day-to-day work experience with Docker.
  • Good communication skills in English (minimum B2).
  • Eagerness to develop yourself and learn new technologies.
  • Problem-solving and analytical thinking.

What We Offer

  • Reimbursed private medical care.
  • Work-life balance with flexible working hours and limited remote work.
  • Opportunities for growth and development, including regular reviews and a chance to discuss acquired skills and prepare a development plan for upcoming months.
  • Exciting internal webinars, celebrations of special days, and participation in conferences and meetups as a listener or speaker.
  • Team trips and workation opportunities.

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