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Lead Java Spark Engineer
2 months ago
Essential Qualifications
- A Bachelor's degree or its equivalent from an accredited institution is required. Candidates with three years of progressive experience in the field may be considered in lieu of each year of education.
- Minimum of 8 years of experience in Information Technology.
- Proficiency in Java, Spark, Hadoop, Impala, and Cloudera is necessary.
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.
- 3 years of experience with Apache Spark's streaming and batch processing frameworks is essential.
- Experience in programming with Spark SQL, Hive SQL, and Java for Spark is required.
- Familiarity with Kafka or other high-performance streaming frameworks is advantageous.
- Experience with Hadoop components, particularly Hive, is a plus.
- Experience in Agile, Scrum, and/or Test-Driven Development methodologies is preferred.
- Working knowledge of DevOps practices, including Pipelines and CI/CD, is desirable.
- Experience in Data Analytics, Data Engineering, and a solid understanding of Data Architecture is important.
- Knowledge of Financial Domain Driven Design is essential.
- Strong customer orientation and a commitment to quality are critical.
- Excellent verbal and written communication skills are required.
- A willingness to work in a Global delivery environment is necessary.