Senior Analytics Engineer

We are currently looking for a talented Senior Analytics Engineer to join our team. You will play a critical role in designing, developing, and maintaining the data infrastructure and analytics solutions that support business operations.

Functional Responsibilities:

• 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.

Qualifications:

• +5 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.