9 нояб. 2021

AB InBev Efes

Объединяем людей, делая мир лучше
Секторы:
Производство
Сотрудники:
более 500 человек
Локации:
Москва, Ульяновск, Саранск, Волжский, Иваново, Уфа, Калуга, Омск, Новосибирск, Владивосток, Клин, Казань
Локация:
Москва
Занятость / Тип договора:
Полный день
/
Работа
Опыт:
Более 3-х лет
Зарплата:
₽ на собеседовании
Вакансия в архиве
Аналитика

Solutions Supply Data Analyst

To do:
  • 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 & 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
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