Remote Work: Hybrid
Analyzes, develops, designs, and maintains software for the organization's products and systems. Performs system integration of software and hardware to maintain throughput and program consistency. Develops, validates, and tests: structures and user documentation. Work is evaluated upon completion to ensure objectives have been met. Determines and develops approach to solutions.
Responsibilities:
- Big Data Processing:
- Design, develop, and maintain scalable data pipelines using technologies such as Apache Airflow, Google Composer.
- Implement ETL (Extract, Transform, Load) processes to ingest, clean, and process large volumes of data from various sources.
- Should have strong knowledge on Object Storage like Google Storage, or similar like S3, HDFS.
- Should have strong knowledge on any Streaming ETL technologies like Apache Beam, Google Dataflow, Spark, Databricks
- Should have strong knowledge on SQL/OLAP databases like Big Query, or similar like Hive.
- Optimize data processing workflows to ensure high performance and efficiency.
- Good to have knowledge on Cloud functions, Cloud build/Jenkins, Cloud Networking
- Desired Skills:
- REST API Development with Spring boot, Web flux.
- Knowledge on Web Security.
- Collaboration and Communication:
- Work closely with data scientists, engineers, and business analysts to understand data requirements and deliver solutions.
- Participate in code reviews, provide constructive feedback, and ensure coding standards are met.
- Communicate effectively with team members and stakeholders to ensure project goals and timelines are met.
Qualifications:
- Core Skills:
- Strong knowledge in Core Java, Springboot, REST API Development, Functional programming concepts
- Should have strong knowledge in Google PubSub or Kafka
- Should have strong knowledge on any Streaming ETL technologies like Apache Beam, Google Dataflow, Apache Spark
- Should have strong knowledge on Object Storage like Google Storage, or similar like S3, HDFS
- Should have strong knowledge in GKE and Docker
- Good knowledge on Cloud functions, Cloud build/Jenkins, Cloud Networking
- Desired Skills:
- Knowledge on SQL/OLAP databases like Big Query, or similar technologies like Hive.
- Implement ETL (Extract, Transform, Load) processes to ingest, clean, and process large volumes of data from various sources.
- Knowledge on Web Security.
- Collaboration and Communication:
- Work closely with data scientists, engineers, and business analysts to understand data requirements and deliver solutions.
- Participate in code reviews, provide constructive feedback, and ensure coding standards are met.
- Communicate effectively with team members and stakeholders to ensure project goals and timelines are met.
- Company Culture:
- Our company values innovation, collaboration, and continuous learning. We offer a dynamic work environment where you can contribute to cutting-edge projects and grow your skills.
Benefits:
- 5 weeks of vacation, 5 sick days and 4 volunteer days paid off
- Multisport card at a reduced price
- Meal contribution
- Monthly contribution 800 CZK/month in the form of credits on your Benefit plus card with cafeteria system where you can choose from wide range of activities/benefits from Health, Sports, Travel, Wellness, Development, Culture up to company Language courses
- Training and personal development in soft skills and hard skills, access to our internal learning portal and internal career opportunities within Zebra departments
- Annual bonuses based on financial results
- Yearly salary increases according to individual performance
- Employee referral bonus for bringing New Talent to Zebra
- Free beverages and fruit days (coffee, tea, milk available in our kitchenette)
- Life & Pension insurance contribution
- New modern and multifunctional workplace at Vlněna Office park in the city centre
- Discount at our partners (Banks, HP, Dell, Microsoft Office)
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