DirecciónWe are on the lookout for a resourceful Marketing Data Engineering Team Lead to join our high calibre team at Hewlett Packard Enterprise in null
Growing your career as a Full Time Marketing Data Engineering Team Lead is an awesome opportunity to develop relevant skills.
If you are strong in planning, communication and have the right experience for the job, then apply for the position of Marketing Data Engineering Team Lead at Hewlett Packard Enterprise today!
Marketing Data Engineering Team Lead page is loaded Marketing Data Engineering Team Lead Apply locations Sant Cugat del Valles, Barcelona, Spain Reading, Berkshire, United Kingdom Bogota, Colombia Tlaquepaque, Jalisco, Mexico Greece > Athens time type Full time posted on Posted 8 Days Ago job requisition id 3103965 Marketing Data Engineering Team LeadDescription -About us: We are currently building a company-wide Data Lake in the Cloud (AWS) that enables us to optimize our Sales priorities, our Marketing spend & Pricing; We are working with the leading platform providers (Databricks, DataIKU, AWS, Snowflake, thought spot and many more) to aggregate, speed and enable information to flow; The team has a worldwide impact with members located on all continents; You will be leading a team of 8+ data engineers, who are responsible for bringing any data requested by the teams of data scientists into this data lake and you will make sure that those assets are properly built (data architecture, efficient ETL processing), documented, and evangelized to a broad audience of users. Key responsibilities: Manage large amount of production level data pipelines across multiple platforms and types; Assigns responsibilities, provides direction, leadership and coaching, removes barriers as needed to enable teams to execute their roles and achieve objectives and goals. People recruitment and development; Cost management, and direction-setting within the area of responsibility; Give guidance, advise and bring into our data lake any data required, constrained by our context and technology stack; Leverage our stack in the fastest & most efficient manner: S3, Kubernetes cluster, Dataiku DSS, Spark (pySpark, Scala, Spark R), python, R, Julia languages, data partitioning; Guide and coach customers to access and use this data appropriately Architecture organization of data subjects, and segment by gold/silver/platinum qualities. Requirements: Typically, 8+ years of relevant experience; Bachelor's degree in Computer Science, Engineering; Experience directly leading and developing a team; Familiar with Agile Project Management; In-depth understanding of technology in direct responsibility; Deep understanding of Spark (experience on Spark optimization would be ideal); Proficiency with pySpark; Experience working in a big data environment is required (hdfs, partitioning concept); SQL proficiency, experience of ETL activities; Experience with Cloud environment (AWS preferred); · Experience with Kubernetes, Docker. Nice to have: Go & Julia; Experience with Dataiku DSS; Python & R, Scala is a plus . What we offer: Opportunity to work in an international organization with colleagues coming from all over the world; Diverse, continued internal growth and career opportunities. Including HP’s own learning platform and LinkedIn Learning; An attractive benefits package; Our Women Network organizes activities such as; Networking, the promotion of STEM vocations, talks on; improving business acumen, work life balance and skills of the future etc. Entity sales and servicesJob -SoftwareSchedule -Full timeShift -No shift premium (Spain)Travel -Relocation -EEO Tagline - HP Inc. is EEO F/M/Protected Veteran/ Individual with Disabilities. Welcome The world is waiting You’re driven to make positive changes. We’re driven to find people like you. We have a lot in common. At HP, diversity and inclusion are business imperatives.We are driven to be the career destination for all top talent.Join us in reinventing the standard for diversity and inclusion where talent is our criteria. Having trouble with this page or with applying to a role? Click here to submit a request for support. #J-18808-Ljbffr
Benefits of working as a Marketing Data Engineering Team Lead in null:
● Learning opportunities
● Company offers career progression opportunities
● Attractive package
