Data Pipeline Specialist

2 weeks ago

Remote Łódź, Czech Republic beBee Careers Full time

Data Engineer Opportunity

We're looking for a highly skilled Data Engineer to join our team. As a key member of our engineering team, you will contribute to the development and buildout of components of our customer's advertising platform.

Expertise in big data technologies such as Hadoop, Spark, and MapReduce will play a crucial role in building modern, well-performing services that deliver targeted ads to our users. You will be collaborating with other professionals around design, implementation, and review of the source code, followed by delivery of proper documentation and quality.

  • Main Responsibilities:
  • Collaborate with data scientists, product managers, and other engineers to refine and improve data processing systems.
  • Design and maintain scalable and optimized data pipelines for efficient collection, processing, and storage of data.
  • Participate in R&D projects in the area of Cloud Services.
  • Establish and follow best coding practices.
  • Work closely with stakeholders to understand and translate business requirements into technical solutions.
  • Conduct A/B testing and performance analysis to validate and iterate on attribution models.
  • Ensure software quality: create and maintain unit, integration and functional tests, participate in code review.

Required Skills and Qualifications:

  • Proficient in big data technologies (Hadoop, Spark, MapReduce).
  • Knowledge of database (SQL/NoSQL) technologies (Snowflake, PostgreSQL, MySQL, DynamoDB).
  • Experience in working with Kubernetes and stream data processing frameworks (Flink, Apache Ignite).
  • Experience in optimizing SQL queries.
  • Experience in working with large datasets.
  • Hands-on experience with orchestration tools like Airflow or similar.
  • Experience in AWS.
  • Knowledge of Design Patterns.
  • Knowledge of version control system: Git.
  • Proficiency in English, enough to communicate and understand technical documentation.
  • University degree in Computer Sciences, Telecommunication and/or similar.

Bonus Points if You Have:

  • GoLang.
  • Experience with GraphQL.
  • Experience in usage and administration of Amazon Web Services.
  • Experience in development of micro services/server less solutions.
  • Knowledge of container technologies like Docker and Kubernetes.

About This Role:

This is an opportunity to work with a global, multi-disciplinary team that puts the innovative power of technology to work and transforms tomorrow. We solve challenges by creating innovative solutions.

We combine the physical and digital, making technology a more dynamic force to solve challenges and serve humanity's needs. We work at the convergence of cross-channel UX, cloud, insightful data, IoT, and mobility. We empower companies to create new digital business models, enter new markets, and improve customer experiences.

Benefits:

  • Remote work.
  • Flexible working hours.
  • Competitive compensation.

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