Data Engineer at SPS-North America

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

11 Feb, 26

Salary

75.0

Posted On

13 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, ETL Solutions, Python, PySpark, SQL, Spark, Snowflake, Airflow, Azure Data Factory, Glue, Redshift, CI-CD Pipelines, Cloud Infrastructure, Docker, Kubernetes, API Integrations, Flask

Industry

Outsourcing and Offshoring Consulting

Description

Job Title: Data Engineer Collaborate with software engineers, business stake holders and/or domain experts to translate business requirements into product features, tools, projects. Key Responsibilities: • Develop, implement, and deploy ETL solutions. • Preprocess and analyze large datasets to identify patterns, trends, and insights. • Evaluate, validate, and optimize data models to ensure efficiency, and generalizability. • Monitor and maintain the performance of data pipeline, data models in production environments, identifying opportunities for improvement and update as needed. • Document development processes, results, and lessons learned to facilitate knowledge sharing and continuous improvement. Skills: • Bachelor's or master’s degree in computer science, Engineering, or a related field. • Strong programming skills in languages such as Python, PySpark, SQL etc. • Experience in Build and optimize ETL workflows using tools/technologies such as Spark, Snowflake, Airflow and/or Azure Data factory, Glue, Redshift etc. • Craft and optimize complex SQL queries and stored procedures for data transformation, aggregation, and analysis. • Develop and maintain data models ensuring scalability and optimal performance. • Utilize Snowpark for data processing within the Snowflake platform. • Integrate Snowflake for efficient data storage and retrieval. • Exposure to API integrations to facilitate data workflows. • Experience in implementing CI-CD pipelines through DevOps platforms. • Good experience in cloud infrastructure such as Azure, AWS or GCP Good to have experience in Docker, Kubernetes etc Exposure in HTML, CSS, Javascript/JQuery, Node.js, Angular/React Experience in API development, Flask/Django is a bonus Pay Range $64—$75 USD WHAT WE OFFER Career Growth: An opportunity to enter a job that allows you to learn new skills or use a variety of them that may lead you to uncover other career opportunities! Learning & Development: At SPS, we promote a work culture of learning so that you can develop to be the best at what you do! We Recognize Talent: We offer a variety of recognition programs for all levels of employees! Benefit Offerings: Medical, Dental, Vision, HCFSA, DCFSA, HSA, Commuter Transit and Parking, Supplemental Life Insurance, Accident Insurance, Critical Illness, Hospital Indemnity, Legal Program, Identify Theft Protection, Pet Discounts, Pet Insurance, Group Home and Auto Insurance, EAP, Short Term Disability, Life Insurance, Education Discounts, 401k w/ matching, Entertainment Discounts, & Paid Time Off. Note: Please inquire with the Human Resources team for benefit offerings per role as regular positions that routinely are under 30 hours/week may have a different benefit offering. About SPS SPS is an award-winning employer of choice offering outsourcing solutions that leverage Intelligent Automation (Artificial Intelligence & Robotic Process Automation) in more than 22 countries across the globe. In North America, our services include Mailroom Management (both physical and digital), Office Services such as Reception, Lobby Concierge and Conference Room Management in addition to Document Processing Services utilizing leading edge technologies. Our clients today are companies in sectors such as banking, insurance, legal, higher education, advertising and other professional services, including many Fortune 500 companies. SPS is committed to delivering high caliber outsourcing experience to our clients and offering our employees challenging and exciting career opportunities throughout the North America region and globally. SPS is committed to investing in the professional development of our employees and offers competitive comprehensive benefits and diverse development training programs that lead to building careers. At SPS we embrace the uniqueness of our employees and are committed to the fair and equal treatment of all people, applicants, and employees by promoting a culture of access, inclusion, equity and diversity. SPS provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual and reproductive health choices, national origin, age, disability, genetics, military status, gender identity or expression, sexual orientation and/or any other status protected by applicable law. Colorado only: We accept applications for an expected minimum of 5 days from the date it is posted. The posting may remain open longer as needed to ensure a robust and inclusive applicant pool. Applicants are prohibited from using real-time AI (Artificial Intelligence) tools, prompts, scripts, or real-time assistance (including but not limited to chatbots, AI-generated responses, or transcription-based tools) during any and all interviews over any forum or platform. SPS offers reasonable accommodations in the hiring and employment process for individuals with disabilities. If you need assistance in the application or hiring process to accommodate a disability, you may request an accommodation at any time. To view our privacy policy, click on the link below: Data Privacy Statement Acknowledgement Section: By submitting an application, by hitting "Submit Application", you certify that the information contained in this application is true and complete. You attest to the fact that the answers provided are correct to the best of your knowledge and ability. You certify that you have not knowingly withheld any information that might affect your chances for hiring. You understand that any false information or omission (including any misstatement) on this application or on any document used to secure this employment can be grounds for rejection of application or, if you are employed by SPS can be grounds for immediate termination from this company.

Responsibilities

The Data Engineer will develop, implement, and deploy ETL solutions while preprocessing and analyzing large datasets to identify patterns and insights. They will also monitor and maintain the performance of data pipelines and models in production environments.