Senior Software Engineer

4 weeks ago


Charlotte, North Carolina, United States Wells Fargo Full time
Job Title: Senior Software Engineer

Job Summary:

We are seeking a highly skilled Senior Software Engineer to join our team at Wells Fargo. As a Senior Software Engineer, you will be responsible for designing and building high-performing and scalable data pipeline platforms using Hadoop, Apache Spark, MongoDB, and object storage architecture.

Key Responsibilities:

- Design and build high-performing and scalable data pipeline platforms using Hadoop, Apache Spark, MongoDB, and object storage architecture.
- Collaborate with source system and approved provisioning point (APP) teams, 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.
- Work with Infrastructure Engineers and System Administrators as appropriate in designing the big-data infrastructure.
- Work with DBAs in Enterprise Database Management group to troubleshoot problems and optimize performance.

Requirements:

- Bachelor's degree in Computer Science, Information Technology, or related technical field.
- Five (5) years of experience in the job offered or as a Big Data Engineer, Hadoop Developer, or related role involving software engineering experience.
- Five (5) years of Java/J2EE or Python experience.
- Five (5) years of ETL (Extract, Transform, Load) Programming experience.
- Five (5) years of experience delivering ETL, data warehouse, and data analytics capabilities on big-data architecture such as Hadoop.
- Five (5) years of Agile experience.
- Five (5) years of design and development experience with columnar databases using Parquet or ORC file formats on Hadoop.
- Five (5) years of Apache Spark design and development experience using Scala, Java, Python, or Data Frames with Resilient Distributed Datasets (RDDs).
- Four (4) years of Hadoop experience.
- Three (3) years of reporting and analytics experience.
- Experience with Docker, JSON, Hive, REST, GIT, Jenkins, Kubernetes, and MongoDB.
- Experience with MapR, Kafka, Linux, Machine Learning, Cloud Engineering, and Master Data Management (MDM).

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