Job Details

Data Management - Big Data/Machine Learning Engineer - Sr Big Data/Machine Learning Engineer - Sr

Advertiser
Mindlance
Location
Richmond, Virginia, United States
Rate
-
Job DescriptionJob Description: Job DescriptionManager, Data EngineeringDo you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At bank, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs.We are seeking Data Engineers who are passionate about marrying data with emerging technologies to join our team. As a bank Software Engineer, youll have the opportunity to be on the forefront of driving a major transformation within bank. Learn more about #lifeatcapitalone and our commitment to diversity & inclusion by jumping to slides 76-91 on our Corporate Social Responsibility Report. This requisition is an advertisement for multiple opportunities within our Tech organization. By applying to this particular role, you'll also be considered for other roles within bank's Engineering Organization.What Youll Do:Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologiesWork with a team of developers with deep experience in machine learning, distributed microservices, and full stack systemsUtilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as SnowflakeShare your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering communityCollaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowermentPerform unit tests and conducting reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performanceBasic Qualifications:Bachelors DegreeAt least 5 years of experience in application developmentAt least 2 years of experience in big data technologies (Cassandra, Accumulo, HBase, Spark, Hadoop, HDFS, AVRO, MongoDB, or Zookeeper)At least 2 years of people management experiencePreferred Qualifications:Master's Degree7 years of experience in application development3 year experience working on streaming data applications (Spark Streaming, Kafka, Kinesis, and Flink1 years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)2 years of experience with Ansible / Terraform3 years of experience with Agile engineering practices3 years in-depth experience with the Hadoop stack (MapReduce, Pig, Hive, Hbase)3 years of experience with NoSQL implementation (Mongo, Cassandra)3 years of experience developing Java based software solutions4 years of experience in at least one scripting language (Python, Perl, JavaScript, Shell)4 years of experience developing software solutions to solve complex business problems3 years of experience with UNIX/Linux including basic commands and shell scriptingReason For Request:

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