![Mindbox S.A.](https://contents.bebee.com/companies/cz/mindbox-sa/avatar-jBhP0.png)
Data Engineer for Scalable Solutions
8 hours ago
Job Description
Mindbox S.A. is a dynamically growing IT company, looking for a talented Senior Big Data Developer to join our team.
We are open to various employment forms, and we offer a hybrid or remote working system that suits your preferences.
As a Senior Big Data Developer at Mindbox S.A., you will have the opportunity to work with experienced and engaged colleagues, willing to learn, share knowledge, and contribute to the company's growth and new ideas.
Our company invests in developing skills and abilities of our employees, providing attractive benefits and all the necessary tools for work.
Benefits
- Sport Subscription
- Private healthcare
- Life insurance
- Training budget
Required Qualifications
For this position, we require:
- At least 2 years of experience working with Apache Spark or Hadoop.
- Knowledge of good practices in writing code: clean code, software design patterns, functional style of writing code, TDD.
- Experience in working with big data – Spark, Hadoop, Hive. Knowledge of Azure Databricks is considered as a plus.
- Agile approach for software development.
- Experience working in agile continuous integration/DevOps paradigm and tool set (Git, GitHub, Jenkins, Sonar, Nexus, Jira).
- Experience with different database structures, including Postgres, SQL, Hive.
- English (at least B2+).
Preferred Qualifications
The following qualifications are highly desirable:
- CI/CD: Jenkins, GitHub Actions.
- Orchestration: Control-M, Airflow.
- Scripting: Bash, Python.
- Software development life cycle (HP ALM...).
- Basics of cybersecurity & Quality (Sonar, Fortify...).
- Basics of Cloud computing (Docker, Kubernetes, OS3, Azure, AWS).
Key Responsibilities
Your main responsibilities as a Senior Big Data Developer at Mindbox S.A. will include:
- Developing efficient pipelines for processing and analyzing large datasets using technologies like Apache Spark or Hadoop.
- Extracting and combining data from various sources (e.g., APIs, databases) using tools like Kafka, Flume, or Sqoop.
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