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Average US Salary
Average LatAm Salary
Develop, construct, test, and maintain architectures, such as databases and large-scale processing systems.
Ensure architecture will support the requirements of the business and data scientists.
Assemble large, complex sets of data that meet non-functional and functional business requirements.
Identify ways to improve data reliability, efficiency, and quality.
Use data to discover tasks that can be automated.
Build algorithms and prototypes.
Conduct complex data analysis and report on results.
Prepare data for predictive and prescriptive modeling.
Collaborate with data architects, modelers, and IT team members on project goals.
Use a variety of languages and tools (e.g., scripting languages) to marry systems together.
Proven experience as a Data Engineer, Software Developer, or similar role.
In-depth understanding of database structure principles.
Experience gathering and analyzing system requirements.
Knowledge of data mining and segmentation techniques.
Expertise in SQL and other programming languages (e.g., Python, Java, Scala).
Familiarity with various ETL techniques and frameworks, such as Flume.
Experience with Big Data tools (e.g., Hadoop, Spark, Kafka).
BSc/BA in Computer Science, Engineering, or relevant field; graduate degree in Data Engineering or other related field is a plus.
Analytical skills to work on complex, multifaceted projects.
Effective communication and collaboration skills.
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