Analytics Engineer

April 26, 2023

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We help companies build world-class data science and AI engineering teams much faster and more cost-effectively.

Machine Learning • Data Engineering • Data Analytics • Artificial Intelligence • Data Science

51 - 200

Description

• Design, develop, and maintain data pipelines, data models, and ETL processes to support data integration, transformation, and aggregation. • Work closely with stakeholders to understand their data requirements and translate them into scalable analytics solutions. • Ensure data quality, accuracy, and consistency by implementing data validation, cleansing, and monitoring techniques. • Identify and implement optimizations to improve the efficiency and performance of data pipelines and analytics processes. • Build and test code using CI/CD best practices. • Perform transformations using state-of-the-art data to create data models for consumption, often leveraging data stack tools like DBT.   • Write and maintain data catalogs and definitions. • Collaborate with data scientists and analysts to implement data-driven models, algorithms, and visualizations.

Requirements

• +3 years of experience working in data analytics or analytics engineering-related fields. • Experience with the design of ETLs. • Strong proficiency in programming languages such as Python, SQL, and T-SQL. • Strong experience with Azure Data Factory, Synapse Analytics, or Snowflake. • Experience with Data Visualization tools such as PowerBI. • Previous experience performing advanced, modular SQL-based transformations. • Experience applying software engineering best practices to analytics code (Version control, testing, continuous integration). • Strong experience building excellent data documentation in company-wide data discovery tools. • Excellent verbal and written communication skills in English

Benefits

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