BeBetta - Data Engineer - Python/SQL

Job Description

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 : BE/B.Tech in Computer Science, IT, or related field (Top-tier colleges preferred). Strong understanding of Big Data warehousing, data modeling, Python, SQL, and APIs. 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. (ref:hirist.tech)