Data Engineer
Convera Pune Division, Maharashtra, India
Job Description
"Unlock the Power of Data: Become a Data Engineer at Convera"
As a Data Engineer at Convera, you will play a pivotal role in shaping the future of analytics and data-driven decision-making within our organization.
With a strong background in data engineering and analytics, you will design, build, and optimize scalable data models and analytics solutions, bridging the gap between data engineering and business intelligence.
Why you should learn this:
The demand for skilled Data Engineers is skyrocketing, with a 50% increase in job postings over the past year, and a median salary range of $140,000 - $200,000 per annum.
Expected Salary: $140,000 - $200,000 per annum
How it works:
- Design and develop scalable data models and analytics solutions using Snowflake and dbt
- Implement star and snowflake schemas optimized for Business Intelligence (BI) consumption
- Build fact, dimension, and aggregate tables for reporting and Key Performance Indicators (KPIs)
- Optimize warehouse performance using clustering, pruning, and proper SQL patterns
- Develop and maintain dbt models for transformation and data quality control
Core Concepts to Master
Snowflake Data Warehousing
Learn about the architecture, features, and best practices of Snowflake, a cloud-based data warehousing platform, and how to design and implement scalable data models.
Data Modeling and Schema Design
Understand the principles of data modeling, schema design, and star/snowflake schema optimization for BI consumption, and apply them to build efficient and scalable data models.
dbt (Data Build Tool) and Analytics Engineering
Learn about dbt, a popular open-source tool for data transformation and quality control, and how to develop and maintain dbt models for analytics engineering.
Data Quality and Governance
Understand the importance of data quality and governance in analytics and data engineering, and learn how to implement data quality control measures and data governance best practices.
Interview Questions (Beginner)
- What is your experience with Snowflake and dbt?
- Can you explain the concept of data modeling and schema design?
- How do you approach data quality control and governance in analytics engineering?
Job Overview
Advance Questions
- • Design a data model for a complex business scenario using Snowflake and dbt.
- • Explain the differences between star and snowflake schema optimization for BI consumption.
- • Discuss the importance of data quality and governance in analytics engineering and provide examples of best practices.