BeBetta - Data Engineer - Python/SQL

About BeBetta

BeBetta is on a mission to revolutionize the gaming experience by creating the Netflix of Gaming a seamless on-demand gaming platform where users discover, play, and enjoy games instantly. We are a fast-scaling startup backed by passionate founders and a vision to redefine entertainment.

Role Overview

We are looking for an energetic, highly skilled Data Engineer with 4+ years of experience to join our dynamic engineering team. This role is perfect for someone who loves solving complex data challenges, thrives in fast-paced environments, and wants to work closely with top leadership in a high-impact role.

You will own the design, development, and optimization of data pipelines that fuel product decisions, personalization, gaming analytics, and platform intelligence.

Key Responsibilities :

- Ensure the right stakeholders receive accurate, actionable data at the right time to drive informed decisions.

- Understand analytical and business requirements and design scalable, reliable data pipelines around them.

- Develop, test, and maintain end-to-end data pipelines for both batch and real-time data

processing.

- Leverage open-source tooling, AWS/GCP or Databricks to automate and optimize data

workflows.

- Collaborate with Product, Data, and Engineering teams to resolve data-related issues and

support broader data infrastructure needs.

- Participate in data mart and data model design discussions, ensuring strong architectural

foundations.

- Write efficient, clean, and maintainable Spark / Hive / Athena / Python code following best

practices and design patterns.

- Build robust data ingestion integrations across a variety of structured and unstructured data

sources.

- Identify data quality gaps and develop automated data validation and cleanup jobs.

- Build internal analytics tools and frameworks that enable insights into gaming behavior,

customer acquisition, retention, and operational efficiency.

- Create and maintain clear, up-to-date documentation of the entire data ecosystem.

Requirements :

- BE/B.Tech in Computer Science, IT, or related field (Top-tier colleges preferred).

- Hands-on experience with AWS/GCP cloud platforms and their managed data services.

- Solid understanding of structured, semi-structured, and unstructured data formats and file

types.

- Proficiency in SQL query writing and familiarity with NoSQL and SQL database systems.

- Strong knowledge of Big Data concepts, RDBMS fundamentals, and cloud computing.

- Familiarity with core Data Engineering foundations, including ETL/ELT architecture and

pipeline design.

- Excellent analytical, communication, and problem-solving skills with the ability to identify root causes and propose solutions.

- Smart, highly motivated, quick to learn, and team-focused.

- Basic understanding of ML concepts, MLOps pipelines, and GenAI fundamentals.

- Working knowledge of Linux, shell scripting, and Java is a plus.