Напиши текст вакансии для должности "Solutions Supply Data Analyst". Название компании: "AB InBev Efes". Расположение: Москва. График работы: Полный день. Опыт работы: От 3 до 6 лет. Ключевые навыки: 'Hive', 'SQL', 'Английский язык', 'ORACLE', 'MS PowerPoint'

 Developing and maintaining scalable and reusable data pipelines to support continuing increases in data volume and complexity. Implementing processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it Collaborating with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering datadriven decision making across the organization Performing data analysis required to troubleshoot data related issues and assist in the resolution of data issues. Manage Data Services and Data Quality transformations using SQL: analyzing redundant and inconsistent data Own continuous improvement and performance testing: document ETLrelated issues and perform RCA, identify long running jobs and optimization opportunities Actively Contributing to engineering wiki, and documenting developments Remaining upto-date with industry standards and technological advancements that will improve the quality of your outputs.  Mandatory  Hands on experience in ETL design, sourcetarget mapping, developing and performance tuning complex ETL code (Informatica, Talend, Azure data factory, SAP DataServices) Hands on experience of cloud analytics platforms, especially Microsoft Azure stack Big Plus for experience with code versioning and DevOps pipelines Good understanding of HDInsight cluster, as well as RDBMS databases &amp; NoSQL databases Dimension (Microsoft, Oracle, Influx, Mongo, Cassandra) Experience in connecting to heterogeneous sources including SAP, Hadoop, Hive, Databricks, HDInsight, Salesforce as well as connecting to multiple file formats and file location objects Knowledge of Slowly Changing, ABAP Data flow Extractions, Star Schema, Snowflake Schema, OLTP and OLAP Strong understanding of data science concepts BA/BS in Computer Science, Computer Engineering, Data Science/Engineering, Statistics/Mathematics or similar Proficiency in English, fluency in other European languages is beneficial  Nice to have  Familiar with Agile, Scrum would be a plus; Knowledge of creating Custom Reports and Dashboards (in SSRS, Qlik or PowerBI) Functional knowledge in manufacturing and supply chain  COMPETENCIES  Sense of ownership and pride in your performance and its impact on company’s success Critical thinker and problemsolving skills, able to deal with ambiguity Strong interpersonal skills, excellent communication and collaboration with technical and nontechnical audiences Ability to prioritize and manage several projects at the same time