Big Data Engineer Opportunity in Capgemini Engineering
4 semanas atrás
We are seeking a skilled Data Engineer to join our dynamic team at Capgemini Engineering. The ideal candidate will be responsible for developing, maintaining, and optimizing our data pipeline architecture while ensuring the availability and performance of critical data workflows.
Key Responsibilities- Design, build, and maintain scalable, efficient, and reliable data pipelines to support data processing and analytics;
- Implement best practices in Big Data tools and frameworks, ensuring data integrity and performance;
- Collaborate with cross-functional teams to integrate new data sources and optimize data pipelines;
- Work with complex datasets, ensuring data quality, transformation, and storage in BigQuery;
- Troubleshoot data pipeline issues and implement long-term solutions to improve system stability;
- Write and optimize complex SQL queries for data extraction and analysis;
- Utilize Kafka for real-time data streaming and event-driven architecture;
- Implement solutions using Python for data processing and ETL workflows;
- Perform code reviews and maintain high-quality code standards.
- Proficiency in BigQuery with 3+ years of experience;
- 3+ years of experience with Spark in large-scale data processing;
- 3+ years of experience with SQL in writing and optimizing complex queries;
- Advanced proficiency in Python with 4+ years of experience in scripting and automation;
- 2+ years of experience with Kafka for real-time data streaming;
- Effective communication in English, both verbal and written.
The estimated annual salary for this role is around €60,000 - €80,000 depending on experience and qualifications. In addition to a competitive salary, we offer a range of benefits including hybrid work arrangements, training and certifications programs, referral program with bonuses for talent recommendations, and great office locations.
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