Builds data platforms to support Asset Management data analytics
and discovery. Evaluates tools for data in the cloud, and builds
data ingestion pipelines. Creates a framework for self-service data
acquisition, building data quality processes and transitioning data
to the cloud. Provides business solutions by developing complex or
multiple software applications.
Develops original and creative technical solutions to on-going
Designs applications or subsystems on major projects and for/in
Develops applications for multiple projects supporting several
Supports and performs all phases of testing leading to
Assists in the planning and conducting of user acceptance
Develops comprehensive documentation for multiple applications
supporting several corporate initiatives.
Responsible for post-installation testing of any problems.
Establishes project plans for projects of moderate scope.
Works on complex assignments and often multiple phases of a
Performs independent and complex technical and functional
analysis for multiple projects supporting several initiatives
Education and Experience:
Bachelors degree (or foreign education equivalent) in Computer
Science, Engineering, Information Technology, Information Systems,
Mathematics, Physics, or a closely related field and three (3)
years of experience in the job offered or three (3) years of
experience developing big data solutions using Amazon Web Services
(AWS) in the financial industry.
Or, alternatively, Masters degree (or foreign education
equivalent) in Computer Science, Engineering, Information
Technology, Information Systems, Mathematics, Physics, or a closely
related field and one (1) year of experience in the job offered or
one (1) year of experience developing big data solutions using
Amazon Web Services (AWS) in the financial industry.
Skills and Knowledge:
Candidate must also possess:
Demonstrated Expertise (DE) building cloud data lakes by
sourcing and analyzing large datasets from heterogenous sources
(Oracle, Files, Netezza, Kafka, and Hive) in XML, JSON, and Text
formats, using AWS services and Snowflake as the data store for
structured and semi structured data within the financial services
DE provisioning AWS cloud infrastructure components (EMR,
Lambda, RDS, and Elastic Search); and performing source code
management and version control for CI/CD pipelines using AWS Cloud
formation templates and DevOps tools (git-stash, Jenkins, and Jira)
to process financial industry data.
DE designing, developing, and automating data processing, using
Hadoop Big Data technologies (Flume, Sqoop, Hive, Java MapReduce,
and Spark framework) within on-premises and Amazon Web Services
DE developing complex financial applications, using Oracle
PL/SQL, ETL tools (Informatica or Ab Initio), UNIX Scripting,
Python, and Autosys.
For full job details and to apply, please visit
https://jobs.fidelity.com/ and search for job number: 2008146.