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.
Requirements :
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.(ref : hirist.tech)