Data Engineer with Databricks and Pyspark
Experis ManpowerGroup Sp. z o.o.Wrocław, Województwo dolnośląskie, Polska30+ days ago
Job descriptionExperience with Databricks and PySpark in real-world projects Proficient in Python for data transformation and automation Experience withat least one cloud platform (AWS, Azure, or GCP) in a production environment English skills – at least B2 level Solid SQL skills and understanding of data modeling Exposure to CI / CD pipelines, Terraform, or other DevOps tools Familiarity with streaming technologies (e.g., Kafka, Spark Streaming) Knowledge of cloud data storage solutions (e.g., Data Lake, Snowflake, Synapse) Relevant certifications (e.g., Databricks Certified Data Engineer Associate) Permanent employment contract Hybrid, flexible working model Possibility of using increased tax-deductible costs in the case of creative work Co-financing to equip a workplace at home Development opportunities Substantive support from project leaders A wide range of internal and external trainings (technical, language, leadership) Certification support in various areas Mentoring and a real impact on shaping your career path Access to a database of over 2,000 training courses on Pluralsight, Coursera, Harvard platforms Internal communities (including Agile, IoT, Digital, Security) The opportunity to participate in conferences both as a listener and an expert Relocation package Benefits as part of the social package(cafeteria system, medical care for the whole family, group insurance on preferential terms)
Tasks :
- Develop and maintain data processing pipelines using Databricks and PySpark
- Collaborate with senior engineers and architects to implement scalable data solutions
- Work with cloud-native tools to ingest, transform, and store large datasets
- Ensure data quality, consistency, and security in cloud environments
- Participate in code reviews and contribute to continuous improvement initiatives
Requirements :
Nice to Have :
Offer :
The offer applies to permanent work #J-18808-Ljbffr
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Data Engineer • Wrocław, Województwo dolnośląskie, Polska
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