What are the responsibilities and job description for the Senior Data Engineer position at dentsu?
Company Description
Merkle is a leading data-driven, technology-enabled, global performance marketing agency that specializes in the delivery of unique, personalized customer experiences across platforms and devices. For more than 30 years, Fortune 1000 companies and leading nonprofit organizations have partnered with Merkle to maximize the value of their customer portfolios. The agency’s heritage in data, technology, and analytics forms the foundation for its unmatched skills in understanding consumer insights that drive people-based marketing strategies. Its combined strengths in performance media, customer experience, customer relationship management, loyalty, and enterprise marketing technology drive improved marketing results and competitive advantage. With 9,600 employees, Merkle is headquartered in Columbia, Maryland, with 50 additional offices throughout the US, EMEA, and APAC. In 2016, the agency joined the Dentsu Aegis Network. For more information, contact Merkle at 1-877-9-Merkle or visit www.merkleinc.com.
Job Description
Job Description
As a Sr. Data Engineer, you will be a core member of the data engineering team, building, managing, and monitoring meta data driven, big data platforms, processing data extracts and providing transformation products. You will work with a team of passionate, experienced, nimble, and goal-oriented engineers that are solving complex problems for providing marketing focused data to customers. You will embrace change, and rapidly build, test, and scale solutions that drive incremental business value for our customers and partners.
Key Responsibilities:
- Manipulate, analyze, standardize, classify, organize, and manage data from different sources
- Develop and test data related products that perform ETL, data cleansing, transformation, and extraction
- Develop reports, analyze data, and summarize findings for internal and external stakeholders
- Evaluate business needs and objectives
- Interpret data trends and patterns
- Prepare data for prescriptive and predictive modeling
- Develop analytical tools and programs
- Evaluate and improve internal tools & processes
- Creating and automating data pipelines
Qualifications
- Bachelor’s degree in Computer Science, Engineering, Information Systems, Mathematics, or other equivalent experience
- 5 years’ experience with SQL, relational databases, and data warehouses
- 3 years’ experience with Python
- 2 years’ experience with Snowflake
- Must have experience in cloud base technologies (AWS, GCP, Azure)
- Must have experience working in Agile teams and CI/CD environments
- Experience with Bash or similar scripting
- Experience with Linux; experience with Windows is desired
- Experience with Jenkins, Airflow, or other orchestration tools
- Experience with code repositories such as Git, Bitbucket, Github, etc.
- Some experience in Tableau is a plus
Soft Skills:
- Able to collaborate across organizations with all levels of leadership to evaluate and resolve issues
- Able to communicate well, documenting processes as needed
- Able to learn new emerging technologies quickly and apply innovative ideas to resolve problems
Additional Information
All your information will be kept confidential according to EEO guidelines.
Merkle fosters a diverse environment that encourages original thinking about our business and empowers us to communicate with a global world of customers. We embrace differences of opinion and diversity of thought as they help us challenge and refine our solutions. Merkle, as a best-in-class marketing agency, welcomes big ideas, and believes they can come from anywhere.
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