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Lead Java Spark Engineer
2 months ago
Essential Qualifications
- A Bachelor's degree or an equivalent international qualification from a recognized institution is mandatory. Consideration will also be given to candidates with three years of progressive experience in the relevant field in lieu of each year of formal education.
- A minimum of 8 years of experience in Information Technology is required.
- Proficiency in Java, Spark, Hadoop, Impala, and Cloudera is essential.
Desirable Qualifications
- 7 to 8 years of substantial experience in an Application Development capacity.
- 4 to 8 years of experience in leading and managing a development team comprising at least 4 to 5 members.
- 5 years of hands-on experience with Big Data technologies and familiarity with data pipelines.
- A minimum of 3 years of experience with both Apache Spark streaming and batch processing frameworks is crucial.
- Experience in programming with Spark SQL, Hive SQL, and Java for Spark is necessary.
- Familiarity with Kafka or other high-performance streaming frameworks is preferred.
- Experience with Hadoop components, particularly Hive, is advantageous.
- Experience in Agile methodologies, Scrum, and/or Test-Driven Development environments is beneficial.
- Working knowledge of DevOps practices, including Pipelines and CI/CD, is a plus.
- Experience in Data Analytics, Data Engineering, and a solid understanding of Data Architecture is required.
- Knowledge of Financial Domain Driven Design is essential.
- Demonstrated customer orientation and a commitment to high-quality standards.
- Exceptional verbal and written communication skills are necessary.
- A strong desire to work in a global delivery environment is preferred.