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Senior Analyst Social listening & Consumer Insights

5-8 Years

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  • Posted 4 months ago

Job Description

  • The ideal candidate will have hands-on experience with Microsoft Azure cloud services, data engineering, and a strong background in designing and implementing scalable data solutions, Key tasks & accountabilities
  • Design, develop, and maintain scalable data pipelines and workflows using Azure Data Factory, Azure Databricks, and other relevant tools, Implement and optimize data storage solutions in Azure, including Azure PostgreSQL Database, Azure Blob Storage, Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and implement solutions that align with business objectives, Ensure data quality, integrity, and security in all data-related processes and implementations, Work with both structured and unstructured data and implement data transformation and cleansing processes, Optimize and fine-tune performance of data solutions to meet both real-time and batch processing requirements, Troubleshoot and resolve issues related to data pipelines, ensuring minimal downtime and optimal performance, Stay current with industry trends and best practices, and proactively recommend improvements to existing data infrastructure, Qualifications, Experience, Skills
  • Bachelor's degree in Computer Science, Information Technology, or a related field, Proven experience of atleast 7+ years as a Data Engineer with a focus on Microsoft Azure technologies, Hands-on experience with Azure services such as Azure Data Factory, Azure Databricks, Azure SQL Database, Azure Data Lake Storage, and Azure Synapse Analytics, Strong proficiency in SQL and experience with data modeling and ETL processes, Familiarity with data integration and orchestration tools, Knowledge of data warehousing concepts and best practices, Experience with version control systems, preferably Git, Excellent problem-solving and communication skills, Technical Expertise
  • Proven experience in Azure Databricks and ADLS architecture and implementation, Strong knowledge of medallion architecture and data lake design, Expertise in SQL, Python, and Spark for building and optimizing data pipelines, Familiarity with data integration tools and techniques, including Azure-native solutions, And above all of this, an undying love for beer!
  • We dream big to create future with more cheers

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Indian

About Company

As a company, we dream big to create a future with more cheers. We are always looking to serve up new ways to meet life’s moments, move our industry forward and make a meaningful impact in the world. We are committed to building great brands that stand the test of time and to brewing the best beers using the finest ingredients. Our diverse portfolio of well over 500 beer brands includes global brands Budweiser®, Corona® and Stella Artois®; multi-country brands Beck’s®, Hoegaarden®, Leffe® and Michelob ULTRA®; and local champions such as Aguila®, Antarctica®, Bud Light®, Brahma®, Cass®, Castle®, Castle Lite®, Cristal®, Harbin®, Jupiler®, Modelo Especial®, Quilmes®, Victoria®, Sedrin®, and Skol®. Our brewing heritage dates back more than 600 years, spanning continents and generations. From our European roots at the Den Hoorn brewery in Leuven, Belgium. To the pioneering spirit of the Anheuser & Co brewery in St. Louis, US. To the creation of the Castle Brewery in South Africa during the Johannesburg gold rush. To Bohemia, the first brewery in Brazil. Geographically diversified with a balanced exposure to developed and developing markets, we leverage the collective strengths of approximately 167,000 colleagues based in nearly 50 countries worldwide

Job ID: 124148393