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Day 2
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Reads like a Data Engineer role: pipelines and data infrastructure.
Work setup in the employer’s posting: TELECOMMUTEFrom the employer’s posting
Analyze data sources and write scripts for examination
Build data structures and design data transformations
Execute queries and formulate datasets with preliminary statistical indicators
Develop mathematical and statistical models to derive indicators
Design processes to automate data product workflows
Conduct research and analyze data, writing scripts for examination
Build data structures and design data transformations
Execute queries on data to enable detailed analysis
Develop models utilizing mathematical, statistical, and analytical methods to derive requested indicators
Design processes for automating data product workflows
Bachelor's degree in a quantitative field such as mathematics, statistics, economics, or computer science
Proficiency in ETL and familiarity with multiple data formats
Competency in programming languages, including Python
Understanding of OLAP cubes
Familiarity with data governance and security practices, including adherence to data privacy regulations
Background in cloud-based data platforms like Azure (preferred), AWS, or Google Cloud
We are looking for a highly skilled and experienced Data Engineer passionate about data analysis to join our team. The perfect candidate will demonstrate mastery of working with large datasets, expertise in ETL processes, familiarity with diverse data formats, and proficiency in data visualization tools like Power BI. They should excel at collaboration with cross-functional teams. Responsibilities Conduct research and analyze data, writing scripts for examination Perform analysis of data sources aligned with the data product methodology Build data structures and design data transformations Execute queries on data to enable detailed analysis Formulate datasets that represent preliminary statistical indicators Develop models utilizing mathematical, statistical, and analytical methods to derive requested indicators Design processes for automating data product workflows Requirements Bachelor's degree in a quantitative field such as mathematics, statistics, economics, or computer science Proficiency in ETL and familiarity with multiple data formats Competency in programming languages, including Python Knowledge of Pandas libraries Understanding of OLAP cubes Familiarity with data governance and security practices, including adherence to data privacy regulations Background in cloud-based data platforms like Azure (preferred), AWS, or Google Cloud Skills in problem-solving and analytical thinking, with the capability to resolve data-related issues and identify optimization opportunities Skills in communication and collaboration, with the ability to translate technical concepts for non-technical stakeholders
Actively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.
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Day 2
Early. Similar jobs usually come down between day 5 and day 54.
From 10,704 similar postings that came down. Coming down is not always a hire.
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