Data Source Staff Engineer

• Able to work independently, with little guidance, maintaining a strategic perspective;
• Able to lead technical initiatives independently to a successful completion with little guidance;
• Mentors new and existing data engineers in the team as needed;
• Suggests improvements in standards, best practices, development, testing, or CI/CD processes, driving for continuous improvement and automation;
• Leads by example, contributing to a collaborative, team-oriented, stimulating, engaging, and enjoyable environment for the development team;
• Work with stakeholders including the Executive, Product, Data Management, Operations and Delivery teams to assist with technical problems or issues; solving production issues; supporting data infrastructure needs; and supporting integrations with other products or internal solutions as needed;
• Communicates and documents technical concepts, designs, and processes so that non-technical stakeholders easily understand;
• Able to research and develop proof of concepts, introducing new solutions and technologies to product leaders and stakeholders to address business needs and challenges;
• Able to gather and translate business requirements into technical designs and develop, test, implement, and deploy enterprise grade, high volume data solutions using the latest cloud-based technologies;
• Able to follow Agile methodologies to release iterative feature sets rapidly; and
• Able to perform functional and performance testing on code and data to ensure quality assurance and performance criteria are met

Must have experience with the following in order to complete the above-mentioned tasks:

• Experience with data engineering, data modeling and/or data processing;
• Experience with SQL, relational and non-relational databases, and data warehouses, including schema designs and database and query performance tuning;
• Experience creating designs, developing code, testing and leveraging automation for code and data quality;
• Experience with Python;
• Experience with Snowflake;
• Experience in cloud base technologies (AWS, GCP, Azure); Experience working in Agile teams;
• Experience working in CI/CD environments; and Experience with code repositories such as Git, Bitbucket, Github, etc.
• Requires a Bachelor’s degree or foreign equivalent in Computer Science, Information Systems or a related field, and at least two years of experience as a Data Engineer, QA Engineer or a related occupation.

The anticipated base salary range for this position is ($119,000 - $198,500). Salary is based on a variety of factors, including relevant experience, knowledge, skills, and other factors permitted by law Additionally, this position is eligible for discretionary incentive compensation. The company's incentive compensation plan is subject to change. A range of medical, dental, vision, 401(k) matching, paid time off, and/or other benefits also are available. For more information regarding dentsu benefits, please visit www.dentsubenefitsplus.com

#LI-DNI

About dentsu
Dentsu is an integrated growth and transformation partner to the world’s leading organizations. Founded in 1901 in Tokyo, Japan, and now present in more than 110 markets, it has a proven track record of nurturing and developing innovations, combining the talents of its global network of leadership brands to develop impactful and integrated growth solutions for clients. Dentsu delivers end-to-end experience transformation (EX) by integrating its services across Media, CXM and Creative, while its business transformation (BX) mindset pushes the boundaries of transformation and sustainable growth for brands, people and society.

Dentsu, Innovating to Impact.

Find out more:
https://www.dentsu.com/
https://www.group.dentsu.com/en/

We are champions for meaningful progress and we strive to be a force for good—for our people, for our clients, for the industry and for our society. We keep our people at the center, creating space for growth, understanding and learning so they can thrive. We embed diversity, in our mindset, in our solutions and in our teams to empower an inclusive, equitable and culturally fluent environment. Building this culture within our teams makes us better collaborators with each other and with our clients, driving better outcomes for all.

Dentsu (the "Company") is committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant or employee of the Company, on the basis of age, sex, sexual orientation, race, color, creed, religion, ethnicity, national origin, alienage or citizenship, disability, marital status, veteran or military status, genetic information, or any other legally-recognized protected basis under federal, state or local laws, regulations or ordinances. Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and/or certain state or local laws. A reasonable accommodation is a change in the way things are normally done that will ensure an equal employment opportunity without imposing an undue hardship on the Company. Please contact your recruiter if you need assistance completing any forms or to otherwise participate in the application process or to request or discuss an accommodation in connection with a job at the Company to which you are applying.