Senior Data Engineer

Company Description

Dentsu/Merkle is a modern marketing solutions company. Our mission is to help clients navigate, progress and thrive in a world of change. Businesses rely on our integrated network of agencies and specialized practices to champion meaningful progress through creative, media, commerce, data and technology. Part of Dentsu Group, our global network comprises 66,000 diverse people in 143 countries, who are dedicated to teaming for growth and good. Some of our award-winning agencies include 360i, Carat, dentsu mcgarrybowen, DEG, dentsuX, iProspect and Merkle. Follow us on Twitter @DentsuUSA and visit dentsu.com/us.

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.

Why Join Us?

Merkle is the leader in data-driven performance marketing. We help brands achieve tremendous competitive advantage. We thrive because we employ the best in the business. Merkle's energy lives in everything we do, and it shows in the way we deliver to our clients. Additionally, we are recognized as top global partners by some of the world's leading technology firms including Adobe, Google, AWS, Salesforce, and more.

Job Description

As a Sr. Data Engineer, you will be a core member of the Data Engineering team: developing new or enhancing existing data products as we build a meta data driven, big data solution, processing and transforming data to produce high quality data assets for our customers. You will work with passionate, goal-oriented Data Engineers to solve complex problems. You will collaborate with Operations and Delivery teams to provide market focused data solutions to our customers. You will participate in a growing, high performing Data Engineering team that embraces change, is continuously improving, and rapidly builds, tests, enhances, and scales data transformational solutions that drive incremental business value for our customers and partners.

Key Responsibilities:

• Create or assemble large, complex data sets that meet functional and non-functional business requirements
• Document requirements from End Users to development user stories, capturing all the details and acceptance criteria required
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data builds, and implementing data QA and reporting
• Coordinate with cross-functional teams, such as Identity and Data Science teams, to develop new data products, making sure each team has the data required
• Work with data and analytic experts to strive for greater functionality of the data
• Develop Proof of Concepts for new or updated data needs as required
• Triage data build or release issues as required
• Support integration with internal solutions

Qualifications

• Bachelor's degree in Mathematics, Statistics, Economics, Computer Science or other equivalent experience
• 10+ year experience with Data Engineering, data modeling and/or data processing
• 5+ years' experience with SQL, relational databases, and data warehouses
• Experience with Python
• Experience with Snowflake
• Experience in cloud base technologies (AWS, GCP, Azure)
• Experience working in Agile teams and CI/CD environments
• Experience with Linux and Windows is a plus
• Experience with Jenkins, Airflow, or other orchestration tools is a plus
• Experience with code repositories such as Git, Bitbucket, Github, etc.
• Experience in Tableau is a plus

Skills:

• Strong analytic skills working with B2B, B2C, and Digital data assets for the purposes of customer experience marketing and analytics
• Able to perform root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
• Able to build processes supporting data transformation, data structures, metadata, dependency and workload management
• Demonstrated ability to manipulate, process and extract value from large disconnected datasets
• Demonstrated strong organizational, leadership, and communication skills
• Demonstrated ability to work with cross-functional teams in a dynamic environment
• Familiarity with statistical concepts, modeling, and the ability to integrate data and analytics
• Able to manage ambiguity, asking questions to gain clarity and understanding
• Able to learn new emerging technologies quickly and apply innovative ideas to resolve problems
• Able to investigate and determine solutions to solve complex problems, offering options and recommendations to business stakeholders or leadership for decisions
• Able to analyze data, with a high attention to detail, and identify data patterns and anomalies
• Able to assess and manage big data and data that scales
• Able to focus on results and business outcomes, meeting business expectations

Additional Information

 

The anticipated salary range for this position is ($94,000k-$152,375k). Actual salary will be based on a variety of factors including relevant experience, knowledge, skills and other factors permitted by law. 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 dentsubenefitsplus.com.

 

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About dentsu 
Dentsu is the network designed for what’s next, helping clients predict and plan for disruptive future opportunities in the sustainable economy. Taking a people-centered approach to business transformation, dentsu combines Japanese innovation with a diverse, global perspective to drive client growth and to shape society www.dentsu.com. 

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.