
Data Engineer
Há 2 dias
Experience working asa Data Engineer, with focus on Azure is valuable;
In-depth knowledge ofAWS services such as S3, Lambda, Glue, Athena, Redshift, and DynamoDB, and their capabilities for building scalable data processing systems;
Proven expertise in designing and implementing AWS serverless architectures for large-scale data processing and storage;
Strong programming skills in languages like Python, Java, or Scala, along with experience using SQL for data manipulation and querying;
Hands-on experience with data integration and ETL tools, such as AWS Glue or Apache Spark, for transforming and processing data;
English And much better if you stand out for: Familiarity with data modeling techniques and data warehousing concepts, including star and snowflake schemas;
Solid understanding of data security, access control, and compliance requirements in a data-driven environment;
Experience with data visualization tools (e.G., Tableau, Power BI) and the ability to collaborate with analysts and data scientists to deliver actionable insights;
Strong problem-solving and analytical skills, with a detail-oriented approach to ensure data accuracy and integrity;
Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment Key Responsibilities: Design and implement an AWS Serverless DataLake architecture to efficiently handle large volumes of data and support various data processing workflows;
Develop data ingestion pipelines and data integration processes, ensuring the smooth and reliable
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