Analytics Engineer - Python/SQL

<p><p>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.<br/><br/><b>Responsibilities :</b><br/><br/></p><p>- Partner closely with our Data Engineering team to ensure efficient data collection, storage, and processing.</p><p><br/></p><p>- Collaborate in designing and optimizing data pipelines for seamless data movement.</p><p><br/></p><p>- Work jointly on data architecture decisions to enhance analytics capabilities.</p><p><br/></p><p>- Dive into large, complex datasets to create efficient and optimized queries for analysis.</p><p><br/></p><p>- Identify bottlenecks and optimize data processing pipelines for improved performance.</p><p><br/></p><p>- Implement best practices for query optimization, ensuring swift data retrieval.</p><p><br/></p><p>- Contribute to the DataOps framework, automating data processes and enhancing data quality.</p><p><br/></p><p>- Implement monitoring and alerting systems to ensure smooth data operations.</p><p><br/></p><p>- Collaborate with the team to develop self-serve platforms for recurring analysis.</p><br/><b>Requirements :</b><br/><br/><p>- Bachelor's or Master's degree in Engineering, Mathematics, Statistics, or a related quantitative field.</p><p><br/></p><p>- 2 to 4 years of analytics, data science, or related experience.</p><p><br/></p><p>- Proficiency (2-4 years) in SQL, R, Python, Excel, etc., for effective data manipulation.</p><p><br/></p><p>- Hands-on experience with Snowflake and Spark/Databricks, adept at Query Profiles and bottleneck identification.</p><br/></p> (ref:hirist.tech)