Vacancy caducado!
Job Description
Are You Ready to Make It Happen at Mondelz International?Join our Mission to Lead the Future of Snacking. Make It With Pride.How you will contributeYou will:- • Technical Expertise: Experience building data pipelines and data centric applications using distributed storage platforms like Google Cloud Platform, HDFS, SAP BW and distributed processing platforms like Hadoop, HDInsight, Spark, Hive, Oozie, Airflow, Talend etc• Focus on excellence: Has practical experience of Data-Driven Approaches, Is familiar with the application of Data Security strategy, Is familiar with well know data engineering tools and platforms e.g Kafka, Spark, Hadoop, Experience creating and building Big Data Architecture.•Technical depth and breadth : Able to build and operate Data Pipelines, Build and operate Data Storage, Has worked on big data architecture within Distributed Systems. Is familiar with Infrastructure definition and automation in this context. Is aware of adjacent technologies to the ones they have worked on. Can speak to the alternative tech choices to that made on their projects.• Implementation and automation of Internal data extraction from SAP BW / HANA• Implementation and automation of External data extraction from openly available internet data sources via APIs• Data ingestion via Data Factory activities and store it Azure Data Lake Store• Data cleaning, curation and enrichment by using Alteryx, SQL, Python, R, PySpark, SparkR• Data ingestion and management in Hadoop / Hive• Preparing consolidated DataMart for use by Data Scientists and managing SQL Databases• Exposing data via Alteryx, SQL Database for consumption in Tableau• Data documentation maintenance/update• Collaboration and workflow using a version control system (e.g., Git Hub)• Learning ability : Is self-reflective, Has a hunger to improve, Has a keen interest to drive their own learning. Applies theoretical knowledge to practice• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.• Keep our data separated and secure across national boundaries through multiple data centers and Azure regions.•Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.• Work with data and analytics experts to strive for greater functionality in our data systems.Skills and Experience• Deep knowledge in manipulating, processing, and extracting value from datasets;
Vacancy caducado!