Data Source Staff Engineer at Merkle Inc.

Data Source Staff Engineer (Merkle Inc.) (Columbia, MD): Able to work independently, with little guidance, maintaining a strategic perspective (5%); Able to lead technical initiatives independently to a successful completion with little guidance (10%); Mentors new and existing data engineers in the team as needed (5%); Suggests improvements in standards, best practices, development, testing, or CI/CD processes, driving for continuous improvement and automation (5%); Leads by example, contributing to a collaborative, team-oriented, stimulating, engaging, and enjoyable environment for the development team (5%); 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 (10%); Communicates and documents technical concepts, designs, and processes so that non-technical stakeholders easily understand (5%); Able to research and develop proof of concepts, introducing new solutions and technologies to product leaders and stakeholders to address business needs and challenges (10%); 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 (35%); Able to follow Agile methodologies to release iterative feature sets rapidly (5%); and Able to perform functional and performance testing on code and data to ensure quality assurance and performance criteria are met (5%). 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. Option to work from home is available. Salary: $119,000.00-198,500.00/year. Please apply at https://www.dentsu.com/us/en/careers.

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