10 Aug
|
Slice
|
Bengaluru
About the role:
As an Analytics Engineer 2 - Data Platform, you will build and maintain data marts that power business decisions across the organization. You will design scalable data models, ensure data quality and reliability, and contribute to platform tools and automation. The role also involves leveraging AI tools to improve development speed and efficiency.
What you will do:
- Build and own scalable data marts that power business reporting and decisionmaking across teams.
- Design dimensional data models, including fact tables, dimension tables, and SCD implementations.
- Develop and maintain batch and near real-time data pipelines using Spark, Delta Lake, and Pinot. Create reusable platform capabilities such as pipeline templates, automation tools, and quality frameworks.
- Implement robust data quality checks, monitoring, and observability solutions to ensure reliable data delivery.
- Write production-grade SQL and Python code using dbt and modern data engineering best practices.
- Optimize data models and pipelines for performance, cost efficiency, scalability,
and SLA adherence.
- Leverage AI tools for development, debugging, documentation, testing, and root cause analysis.
- Collaborate with analysts, product teams, and stakeholders to translate business requirements into analytical solutions.
- Drive continuous improvements in data platform capabilities, governance, lineage, and engineering productivity.
What you will need:
- 3–5 years of experience in Analytics Engineering, Data Engineering, or Business Intelligence with ownership of analytical data platforms.
- Solid expertise in Dimensional Modelling, including Fact & Dimension Tables, Star Schemas, Conformed Dimensions, SCD Type 2, and Data Warehousing concepts.
- Hands-on experience building and maintaining ETL/ELT pipelines using dbt, SQL, Python, and modern data transformation frameworks. Advanced SQL skills with experience optimizing large-scale analytical workloads on Trino, Data Lakes, or D
📌 Analytics Engineer 2 (Bengaluru)
🏢 Slice
📍 Bengaluru