About us:

slice the way you bank slice’s purpose is to make the world better at using money and time, with a major focus on building the best consumer experience for your money. We’ve all felt how slow, confusing,

and complicated banking can be. So, we’re reimagining it. We’re building every product from scratch to be fast, transparent, and feel positive, because we believe that the best products transcend demographics, like how great music touches most of us.

Our cornerstone products and services: slice savings account, slice UPI credit card, slice

UPI, slice UPI ATMs, slice fixed deposits, slice borrow, and UPI-powered bank branch are designed to be simple, rewarding, and completely in your control. At slice, you’ll get to build things you’d use yourself and shape the future of banking in India. We tailor our working experience with the belief that the present moment is the only real thing in life.

And we have harmony in the present the most when we feel happy and successful together.

We’re backed by some of the world’s leading investors, including Tiger Global, Insight

Partners, Advent International, Blume Ventures, and Gunosy Capital.

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.

About the Team:

As an Analytics Engineer in the Data Platform team, you will build and own scalable data marts that power business decision-making across the company. You'll work on modern data technologies, contribute to platform capabilities and automation, and help improve data quality, reliability, and observability. The team values strong data engineering fundamentals, product thinking,



and the effective use of AI tools to accelerate development and problem-solving.

What You will do:

- Build and own scalable data marts that power business reporting and decision-making 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.
- Strong 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 Data Warehouses.
- Strong proficiency in Python and PySpark, including pipeline development, testing, debugging, performance tuning, and production-grade coding practices.
- Experience working with Apache Spark, Delta Lake, Iceberg, Pinot, and distributed data processing systems at scale.
- Expertise in Data Quality Engineering, including automated testing, anomaly detection, data validation, observability, SLA monitoring, and lineage management.
- Experience with AI-assisted development, leveraging LLMs for coding, testing, documentation, debugging, monitoring, and data quality improvements.
- Familiarity with BI & Analytics tools, data marts, reporting layers, and designing models optimized for analyst and business consumption.
- Strong understanding of Data Platform Engineering, including version control, CI/CD, code reviews, governance, metadata management, scalability, and stakeholder driven data solutions.

Life at slice :

Life so good, you’d think we’re kidding:

Competitive salaries. Period.

1. An extensive medical insurance that looks out for our employees & their dependents. We’ll love you and take care of you, our promise.
2. Flexible working hours. Just don’t call us at 3AM, we like our sleep schedule.
3. Tailored vacation & leave policies so that you enjoy every important moment in your life.
4. A reward system that celebrates hard work and milestones throughout the year. Expect a gift coming your way anytime you kill it here.
5. Learning and upskilling opportunities. Seriously, not kidding.
6. Good food, games, and a cool office to make you feel like home. An environment so good, you’ll forget the term “colleagues can’t be your friends

📌 Analytics Engineer - Data Platform (Bengaluru)
🏢 Slice
📍 Bengaluru