Job Description

Role and Responsibilities

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. Your role will encompass:

Collaboration with Data Engineering Team:

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.

Performance Tuning and Query Optimization:

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.

DataOps Excellence:

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.

Qualifications and Skills:

Bachelor's or Master's degree in Engineering, Mathematics, Statistics, or a related quantitative field. 2-4 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.
Job Type: Full-time

Pay: ₹800,000.00 - ?1,000,000.00 per year

Schedule:

Day shift
Work Location: Remote