Data Engineer - ETL (5-9 yrs)

What are We Looking For :

- Possess over 5 years of hands-on experience in Data Engineering, specializing in the development of scalable storage solutions and robust schema layers.

- Proficient in a programming language such as Python or Java, along with their respective standard data processing libraries.

- Demonstrated expertise in crafting and troubleshooting data pipelines utilizing distributed data frameworks like Apache Spark and Flink etc.

- Extensive background in working with relational databases (AWS, RDS, Aurora), adept in SQL, data warehousing, and proficient in designing ETL/streaming pipelines.

- Proven track record of integrating data from core platforms into a centralized warehouse or datalake.

- Adhere to rigorous standards in code quality, implement automated testing, and champion other engineering best practices.

- Well-versed in establishing secure systems and access models for handling highly sensitive data.

- Exhibit strong cross-functional communication skills, proficient in extracting requirements, and skilled in architecting shared datasets.

- Possess a genuine passion for creating exceptional tools that provide a delightful user experience.