Data Engineer

Key Responsibilities

• Implement data quality checks, validation routines, and lineage documentation that make data assets trustworthy for product use.
• Contribute to data models and schemas that support analytics, machine learning, and agentic product features.
• Partner with product managers and data scientists to translate defined requirements into production-ready data assets and feature pipelines.
• Support deployment, monitoring, and troubleshooting of pipelines in production, working with application engineering and DevOps teams on CI/CD and observability.
• Participate in Agile ceremonies and code reviews, and keep work items, estimates, and status current for USI and US stakeholders.
• Help standardize data adapters and schemas across the ConvergeSPORTS product portfolio by documenting and reusing existing patterns.
• Build and maintain batch data pipelines using SQL, Python, and PySpark to ingest, transform, and serve fan, sponsorship, ticketing, CRM, and commercial datasets.
• Develop components of reusable ETL/ELT frameworks under the guidance of senior engineers, following established design patterns and coding standards.
• Write, test, and tune SQL and Python code for correctness and performance, with unit tests and clear documentation.

Requirements & Tech Stack

• Proficiency in SQL and Python, including writing, testing, and tuning data transformation code.
• Familiarity with at least one cloud data platform such as Snowflake, Databricks, BigQuery, or PostgreSQL.
• Familiarity with Spark/PySpark or comparable distributed data processing frameworks, and with workflow orchestration.
• Familiarity with Git/GitHub, branching, code review, and Agile product development.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Technology, Mathematics, Statistics, or a related field, or equivalent experience.
• Based in India, able to work virtually with US stakeholders.