Bachelor's degree in IT, Computer Science, Software Engineering, Business Analytics or equivalent., Minimum 2 years of experience in big data systems such as Hadoop., Proficiency in Scala, Spark, Hbase, Hive, and RDBMS (MySql/Postgres/Maria) with at least 2 years of experience each., Experience with CI/CD for at least 1 year is required..
Key responsibilities:
Develop and maintain data processing systems using Scala and Spark.
Implement and manage big data solutions on Hadoop and cloud platforms.
Collaborate with cross-functional teams to optimize data workflows and architecture.
Ensure data security and integrity while working with large datasets.
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Experience -Must have: a) Scala: Minimum 2 years of experience b) Spark: Minimum 2 years of experience c) Hadoop: Minimum 2 years of experience (Security, Spark on yarn, Architectural knowledge) d) Hbase: Minimum 2 years of experience e) Hive - Minimum 2 years of experience f) RDBMS (MySql / Postgres / Maria) - Minimum 2 years of experience g) CI/CD Minimum 1 year of experience Experience (Good to have): a) Kafka b) Spark Streaming c) Apache Phoenix d) Caching layer (Memcache / Redis) e) Spark ML f) FP (Scala cats / scalaz) Qualifications Bachelor's degree in IT, Computer Science, Software Engineering, Business Analytics or equivalent with at-least 2 years of experience in big data systems such as Hadoop as well as cloud-based solutions
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Experience
Spoken language(s):
English
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