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Data Engineer with Expertise in Groovy and Spark, Kraków
Client: DataArt
Location: Kraków
Job Category: Other
EU work permit required: Yes
Job Reference: bdbdde363723
Job Views: 35
Posted: 23.01.2025
Expiry Date: 09.03.2025
Job Description:
Responsibilities
- Work closely with data engineers, the product team, and other stakeholders to gather data requirements, and design and build efficient data pipelines
- Create and maintain algorithms and data processing code in Java/Groovy
- Implement processes for data validation, cleansing, and transformation to ensure data accuracy and consistency
- Develop Python scripts to automate data extraction from both new and existing sources
- Monitor and troubleshoot the performance of data pipelines in Airflow, proactively addressing any issues or bottlenecks
- Write SQL queries to extract data from BigQuery and develop reports using Google’s Looker Studio
- Participate in daily stand-ups, sprint planning, and retrospective meetings
- Engage in peer code reviews, knowledge sharing, and assist other engineers with their work
- Introduce new technologies and best practices as needed to keep the product up to date
- Assist in troubleshooting and resolving production escalations and issues
Requirements
- Bachelors degree or equivalent programming experience
- 4-5 years of overall experience as a backend software developer, with at least 2 years as a Data Engineer using Spark with Java/Groovy and/or Python
- Strong coding skills, and knowledge of data structures, OOP principles, databases, and API design
- Highly proficient in developing programs and data pipelines in Java/Groovy or Python
- 2+ years of professional experience with Apache Spark/Hadoop
Nice to have
- Work experience with AWS (EMR, S3, lambda, EC2, glue, RDS)
- Work experience with SQL (MYSQL is a Plus) and NoSQL Databases
- Experience with Elasticsearch
- Experience with Python
- Experience with Scala (Zeppelin)
- Experience with Airflow or other ETL
- Certification or verified training in one or more of the following technologies/products: AWS, ElasticSearch
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