Data Engineer

Java, Aws
Full Time
Depends on Experience
Work from home not available Travel not required

Job Description

The Role:
The primary responsibilities of the Investment Data Engineer are to develop and/or sustain applications for the Investment Data Technology team, to provide technical guidance on complex applications, programming and integration projects, and to contribute to our ongoing migration to an AWS-based Data Lake.
Major Responsibilities:
You will develop and maintain data pipelines for efficient data ingestion/collection, architect and implement data processing and storage solutions as well as enable data consumption through a variety of applications and tools. Technologies include (not limited to) AWS big data stack, Java, Python & SQL among others.
You will work closely with and provide design specifications to Database Administration, Data Architects, and BI development staff to optimize overall design.
You will analyze the business and technical requirements for data systems and applications; Scope, estimate, and schedule project work; Coordinate the integration of IT policies, procedures and development practices.
You will identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
You will research emerging data technology, applications, and integration frameworks to continuously improve the data lake/warehouse platform and practices.
Other duties as assigned.
Competencies:
Staff within the Information Technology department are required to consistently demonstrate the appropriate level of proficiency in the following competency areas: Change Advocate, Communication & Understanding, Accountability (for self and others), Achievement Orientation, Personal Leadership, Business Adeptness, Client Orientation, Project/Program Management, Teamwork, Developing People and Technical Leadership.
Distinguishing Characteristics:
A consistent track record as a successful software developer
Willingness to continue to learn new technologies in a self-directed way
Superior interpersonal skills including the ability to communicate with individuals at all levels of the organization in both verbal and written form.
Highly motivated self-starter.
Strategic, creative and innovative thinker.
Ability to work independently and as a member of a team.
Ability to provide technical and guidance to technical and non-technical staff.
Education & Experience:
Required
A Bachelor s degree preferably in Computer Science or Engineering
3 - 5+ years of experience with big data technology programs and services, with a track record of delivering systems that help businesses extract value from large datasets.
Hand s on experience with AWS Cloud platform and services, in particular S3, EC2, Lambda, Athena, Glue.
Experience working as a member of agile data technology development teams
Advanced knowledge of SQL as well as big data technology platforms, ETL/ELT tools and techniques as well as Business Intelligence (BI), analytics and AI services and tools.
Experience with AWS Cloud platform and services
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and find opportunities for improvement.
Understanding of big data systems and life-cycle management best practices and methodologies.
Experience building and maintaining key business relationships.
Good communication skills and customer relationship skills.
Preferred
Experience with advanced analytics tools and languages such as R, Python, Java, SAS, and others.
Ability to work across multiple deployment environments including cloud (preferably AWS), on-premises, and hybrid models.
Knowledge of data lake concepts and related technologies
Experience working with data science and quantitative research teams.
Experience working with financial market data vendor platforms such as FactSet, Bloomberg, Thomson Reuters and alternative data sets.
Familiarity with data discovery, analytics, and BI tools such as Tableau.
Experience working in a SSAE 16 or similar level of controls environment.
Experience with Service Oriented Architecture (SOA), web services, enterprise data management, information security, applications development, and cloud-based architectures.
Knowledge of configuration management and version control processes.
Working Conditions:
Normal office environment.
Overtime as needed.
Negligible travel as needed.
On-call as needed.
The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be a complete list of all responsibilities, duties, and skills required.

Posted By

Ashley Brewer

10235 W Little York Rd Ste 235 Houston, TX, 77040

Contact
Dice Id : ECOMHOU
Position Id : DE01-20
Originally Posted : 1 month ago
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