One Demand Data Analytics (ODDA) DevOps Engineer

Key Skills

Apache Hadoop, Apache Hive, Apache Kafka, API, Azure, Bayesian networks, Big Data Technology, Data Analytics, DevOps, Python Programming, R Programming, SAS, Scala Programming, SQL, YARN

Job Description

One Demand Data & Analytics (ODDA) is a Mars Wrigley program that harnesses the power of data and insights to solve some of the critical business-wide problems we face – unlocking quality growth and operational excellence.

Through ODDA, we deliver connected insights across the entire demand ecosystem. We empower our Associates with the right data, tools and capabilities so they can take decisive action, maximizing value and making a meaningful impact on our consumers, our customers and our business.

The ODDA DevOps Engineer builds software functionality and participates with the delivery team in taking on development responsibilities for the entire tech stack

What are we looking for? 

• Master’s Degree in Computer Science, Application Programming, Software Development, Information Systems, Database Administration, Mathematics, Engineering, or other related field.
• 6+ years in a rapid development environment, preferably within an analytics environment
• Demonstrated ability to be work with internal (Operations) and external (IT) stakeholders
• Must be able to interact and collaborate at all levels within Operations Analysis & Performance, OCC, cross-divisional working groups, and outside entities
• Experience with increasing code quality and implementing best practices across teams
• Advanced technical skills in the following areas:
• Proficiency in SQL (CTE, window functions, temporal data), SAP HANA experience is a large plus
• Proficiency in a scripting language (Python preferred)
• Proficiency of API Consumption
• Proficiency in ETL tooling (such as Informatica)
• Proven expertise in SAP ECC and SAP APO is a big plus
• Excellent communication skills and ability to present concepts to non-technical audience 
• Must be able to interact and collaborate at all levels within Operations Analysis & Performance, OCC, cross-divisional working groups, and outside entities
• Strong project management, organizational, and prioritizations skills
• 2 to 4 years' experience in applied data science role or equivalent; ideally in a CPG, Retail
• Knowledge and experience in modelling techniques and advanced applied skills (e.g. significance testing, GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.) using tools like Spark, Scala, SAS, R, Python, Bayesia, H2O, Storm, Yarn, and Kafka
• Experience querying databases (SQL, Hive)
• Experience working with big data platforms such as Hadoop ecosystem (Azure), including in-memory solutions (SAP HANA and Apache Spark)
• Working knowledge of data visualization tools such as Tableau, Power BI, D3, ggplot, to deliver output to the broader business community to improve decision making and productivity

What will be your key responsibilities? 

• Work closely with Tech Leads and developers of various teams to assess existing problems and to produce process improvement solutions
• Detect upcoming bottlenecks and production issues proactively and consult teams hands-on towards improved technical solutions
• Participate in planning delivery time, code quality, and process efficiency improvement projects
• Execute on plan by building coding standardizations and automating processes for the organization
• Perform daily tasks such as environmental health checks, disk space monitoring, and environmental status reports
• Maintain and grows knowledge of platform configuration management and troubleshooting
• Actively participate in deploying application artifacts to appropriate target environments using the supported technologies and infrastructure
• Survey developers and technical members of the organization to understand their main pain points in the coding and development process
• Collaborate with the rest of DevOps team to deliver consistent and holistic solutions to the organization