Assistant Vice President; Data Engineer

Bank of America•Charlotte, NC

1d•Onsite

About The Position

This job is responsible for driving efforts to develop and deliver complex data solutions to accomplish technology and business goals. Key responsibilities include leading code design and delivery tasks with the integration, cleaning, transformation and control of data in operational and analytical data systems. Job expectations include liaising with vendors and working with stakeholders and Product and Software Engineering teams to implement data requirements, analyzing performance, and researching and troubleshooting issues within system engineering domains.

Requirements

Master's degree or equivalent in Computer Science, Computer Information System, Information Technology, Management Information Systems, Engineering (any), or related: and 3 years of experience in the job offered or a related IT occupation.
3 years of experience in Utilizing Hadoop/Big Data and Scalable Distributed Systems to provide analytical insights using TeraBytes of data
3 years of experience in Configuring and tuning of Hadoop services including Hive, Spark, HBase, HDFS, Impala, Kafka
3 years of experience in Developing applications on container orchestration platform like Kubernetes and Docker to build dynamic and scalable applications
3 years of experience in Designing solutions to deploy scalable machine learning models on big data platform
3 years of experience in Developing batch and real time data pipelines to ingest data into Data Warehouse
3 years of experience in Using Source Code Version Control systems and Jenkins to provide continuous and efficient delivery of data products.

Responsibilities

Develop and deliver complex data solutions to accomplish technology and business goals.
Code, design and deliver of tasks associated with the integration, cleaning, transformation, and control of data in operational and analytics data systems.
Work with the stakeholders, Product Owners, and Software Engineers to aid in the implementation of data requirements, analyze performance, conduct research and troubleshoot any issues.
Perform Proficient data engineering practices and have extensive experience of using design and architectural patterns.
Participate in estimating work necessary to realize a story/requirement through the delivery lifecycle.
Code complex solutions to integrate, clean, transform and control data in operational and/or analytics data systems per the defined acceptance criteria.
Define and build data pipelines that enable faster, better, data‐informed decision‐making within the business.
Contribute to existing test suites (integration, regression, performance), analyzes test reports, identifies any test issues/errors, and triages the underlying cause.