Analytics Engineer - Data Platform

About us:

• slice the way you bank
• slices 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. Weve all felt how slow, confusing,
• and complicated banking can be. So, were reimagining it. Were building every product
• from scratch to be fast, transparent, and feel good, 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, youll get to
• build things youd 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.
• Were backed by some of the worlds 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. Youll 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, youd think were kidding:

Competitive salaries. Period.

1. An extensive medical insurance that looks out for our employees & their dependents. Well love you and take care of you, our promise.
2. Flexible working hours. Just dont 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, youll forget the term colleagues cant be your friends