Data Engineer - Trovicor
Description
Trovicor is seeking a Data Engineer with advanced proficiency in Java, significant experience with Apache NiFi, and a strong foundation in using columnar databases for real column queries. The ideal candidate will bring a depth of experience in data engineering disciplines, including the use of Fast API framework, and documented proficiency in Python. This role demands an individual who can apply their knowledge practically and innovatively to solve complex problems, seamlessly integrate disparate data systems, and contribute to the strategic data architecture decisions. Applicants must demonstrate their experience through detailed accounts in their resume or CV, moving beyond mere keywords to showcase tangible achievements and contributions.
Requirements
1. 10+ years of experience in Java, with extensive knowledge in developing scalable data processing solutions.
2. 5+ years of hands-on experience with Apache NiFi, demonstrating advanced knowledge in data flows and process automation.
3. Proven experience with columnar databases such as ClickHouse, Cassandra, Snowflake, or Amazon Redshift, especially in crafting and executing complex columnar queries.
4. Practical experience with the Fast API framework, showcasing ability to develop high performance, scalable APIs.
5. Documented proficiency in Python, with examples of previous projects or contributions that required significant Python coding.
6. Ability to articulate and showcase data engineering solutions and methodologies clearly in a resume or CV.
Desirable
1. Experience with data modeling and ETL processes.
2. Familiarity with cloud services and architectures, especially AWS or Azure.
3. Strong analytical skills and ability to work with complex datasets.
Candidate Application :
How did you hear about us? *
1. Do you have 10 or more years of experience working with Java for data engineering purposes? *
2. Have you worked with Apache NiFi for 5 or more years, specifically with data automation and processing flows? *
3. Can you provide examples of your work with columnar databases like ClickHouse or Snowflake for column queries? *
4. Are you proficient in Python, with documented examples of your work that required significant use of the language? *