Analytics Engineer - Python/SQL

As an Analytics Engineer, you will be at the heart of our data-driven approach, collaborating with cross-functional teams to transform raw data into actionable insights.

Responsibilities :

- Partner closely with our Data Engineering team to ensure efficient data collection, storage, and processing.

- Collaborate in designing and optimizing data pipelines for seamless data movement.

- Work jointly on data architecture decisions to enhance analytics capabilities.

- Dive into large, complex datasets to create efficient and optimized queries for analysis.

- Identify bottlenecks and optimize data processing pipelines for improved performance.

- Implement best practices for query optimization, ensuring swift data retrieval.

- Contribute to the DataOps framework, automating data processes and enhancing data quality.

- Implement monitoring and alerting systems to ensure smooth data operations.

- Collaborate with the team to develop self-serve platforms for recurring analysis.

- Bachelor's or Master's degree in Engineering, Mathematics, Statistics, or a related quantitative field.

- 2 to 4 years of analytics, data science, or related experience.

- Proficiency (2-4 years) in SQL, R, Python, Excel, etc., for effective data manipulation.

- Hands-on experience with Snowflake and Spark/Databricks, adept at Query Profiles and bottleneck identification.