Senior Data Engineer (Azure) at endava in Buenos Aires, Buenos Aires, Argentina

This role involves transforming raw data into actionable insights and building robust data infrastructures to enable data-driven decision-making. Responsibilities include developing and maintaining data pipelines, implementing ETL processes using Azure Data Factory or Talend, and utilizing big data technologies like Apache Spark and Apache Kafka with DataBricks. Experience with cloud platforms such as Azure (ADLS2, Azure SQL, Azure Cosmos DB, Azure Synapse), data warehousing solutions like Redshift or Snowflake, and programming languages like Python, Java, or Scala is essential. Collaboration with data scientists, analysts, and stakeholders is key to translating data needs into efficient solutions.