Hadoop ETL Developer
2 months ago
Outstanding long-term contract opportunity A well-known Financial Services Company is looking for a Hadoop ETL Engineer in Charlotte NC (Hybrid).
Job Expectations:
- Design and implement automated spark-based framework to facilitate data ingestion, transformation and consumption.
- Implement security protocols such as Kerberos Authentication, Encryption of data at rest, data authorization mechanism such as role-based access control using Apache ranger.
- Design and develop automated testing framework to perform data validation.
- Enhance existing spark-based frameworks to overcome tool limitations, and/or to add more features based on consumer expectations.
- Design and build high performing and scalable data pipeline platform using Hadoop, Apache Spark, MongoDB, Kafka and object storage architecture.
- Work with Infrastructure Engineers and System Administrators as appropriate in designing the big-data infrastructure
- Collaborate with application partners, Architects, Data Analysts and Modelers to build scalable and performant data solutions.
- Effectively work in a hybrid environment where legacy ETL and Data Warehouse applications and new big-data applications co-exist
Required Qualification:
- 5+ years of experience of software engineering experience
- 5+ years of experience delivering complex enterprise wide information technology solutions
- 5+ years of experience delivering ETL, data warehouse and data analytics capabilities on big-data architecture such as Hadoop
- 5+ years of Apache Spark design and development experience using Scala, Java, Python or Data Frames with Resilient Distributed Datasets (RDDs), Parquet or ORC file formats
- 6+ years of ETL (Extract, Transform, Load) Programming experience
- 2+ years of Kafka or equivalent experience
- 2+ years of NoSQL DB like Couchbase/MongoDB experience.
- 5+ experience working with complex SQLs and performance tuning
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