Job Description
Position: Sr. Data Engineer
Duration: 6+ months – Possible Extension
Location: Hartford, CT
Pay Range: $60-$70/hr on W2 (As per experience)
Job Description:
Position will design, develop, and maintain large scale data assets across data warehouses, data marts, and data processes, leveraging next generation data and analytic technology stack across AWS Cloud, Informatica IDMC, Snowflake, and Big Data.
Role Expectations:
Design and develop high quality, scalable software modules for next generation analytics solution suite
Prototype high impact innovations, catering to changing business needs, by learning and leveraging new technologies (AWS Cloud, Big Data, Snowflake, Informatica Cloud).
Integrate with Data Quality Services to ensure Quality data is Published to consumers.
Possesses functional knowledge and skills reflective of a competent practitioner with the ability to deliver on work of varying technical complexity
Consults with functional management in the analysis of short and long-range business requirements and recommends innovations which anticipate the future impact of changing business needs
Works closely with client management to identify and specify the complex business requirements and processes for diverse development platforms, computing environments (e.g., Cloud, host based, distributed systems, client server), software, hardware, technologies and tools
Exposure to CI/CD processes and experience working with GIT, Jenkins, Urban Code Deploy, Nexus repositories
Coordinate activities with cross-functional IT unit stakeholders (e.g., database, operations, telecommunications, technical support, etc.)
Researches and evaluates alternative solutions and recommends the most efficient and cost-effective solution for the systems design
Work within a self-organized scrum development team regarding all design and implementation
Qualifications:
Bachelor’s degree with at least 5 or more years of applicable work experience with respect to Data Analysis, manipulation, and technical development
Desired educational experience includes, but are not limited to: Computer Science, Engineering, IT, Management Information Systems, Data Analytics, Applied Mathematics, and Business.
Desire candidates with prior Data Engineer/ETL competencies and prior experience with successful enablement of Data Delivery initiatives.
Knowledge of ETL tools like Informatica & Talend; relational databases like Oracle & Snowflake; Oracle PL/SQL etc.
Understanding of current and emerging IT products, services, processes and methodologies.
Analytical approach with a strong ability to uncover and resolve problems by delivering innovative approaches and solutions.
Technical leadership with respect to design, implementation and overseeing complex technical processes
Strong ability to estimate project tasks and to deliver upon committed dates. Ability to develop and maintain systems according to a defined set of standards.
Experience with AWS Services (i.e. S3, EMR, etc) a plus
Experience with Cloud data warehouses, automation, and data pipelines (i.e. Snowflake, Redshift) a plus
Experience using Gen AI solutions to automate data engineering pipelines preferred.
Benefits Info:
Russell Tobin, offers eligible employee’s comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance, and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance and employee discounts with preferred vendors.
#CB
#LI-AD7