We are looking for a Data Engineer to join our growing team of data management experts. The hire will be responsible for expanding and optimizing our data architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is a leader who takes accountability for their work and enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing and fine-tuning our data architecture to support our next generation of products and data initiatives.
Essential job functions
Architect API and integration strategy across different applications, including Salesforce Marketing Cloud.
Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies.
Interface with Clients in order to learn and understand business requirements.
Use Client information to assemble large, complex data sets that meet functional business requirements.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using MySQL and Python technologies.
Access data through API’s, FTP file drops and email attachments in order to stage data for reporting and analysis.
Work with data and analytics experts to strive for greater functionality in our data systems
Basic Skills Required
Working MySQL knowledge and experience working with relational databases, query authoring as well as working familiarity with a variety of databases.
Working Python language knowledge and experience with core programming basics including:
Objects, Definitions, Variables Loops and if-statements.
Strong understanding of API development and functionality.
Minimum of 2 years of experience coding REST services and APIs using Python
Experience building new database tables and stored procedures with MySQL or similar database architecture.
Ability to document architecture, structure and implementation details for your projects.
Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations.
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
Strong analytic skills related to working with unstructured datasets.
Build processes supporting data transformation, data structures, metadata, dependency and workload management.
A successful history of manipulating, processing and extracting value from large disconnected datasets.
Experience supporting and working with cross-functional teams in a dynamic environment.
We are looking for a candidate with 3+ years of experience in a data or analytics role, who has attained a Bachelor’s degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using some combination of the following software/tools:
Experience with relational MySQL databases.
Experience with using Python in an object-oriented/object function way.
Experience with AWS cloud services: EC2, RDS.
Experience with REST API calls and best practices.
Other duties assigned
Here at TA we welcome and embrace diversity. All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, national origin, protected veteran status, and on the basis of disability.
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