BSE Global is looking to scale its data engineering function to drive insights for ticketing, merchandising, marketing attribution, and fan engagement by implementing scalable data pipelines, platform integrations, and data architecture best practices.
Requirements
- Experience with SQL, especially PostgreSQL, and a solid understanding of relational databases.
- Proven track record of establishing and revamping best practices for reproducible research: version control (Git), code reviews, unit testing, and documentation.
- Strong understanding of data-warehousing concepts, ETL/ELT frameworks, and big-data processing (Spark, Kafka, etc.).
- Familiarity with data modeling principles and experience building data models to support analytics and reporting.
- Experience with at least one ETL tool or framework (e.g., AWS Glue, Apache Airflow).
- Proficiency in python and data wrangling techniques, with a strong understanding of data manipulation, data warehousing concepts and structures.
- Experience with Snowflake, Databricks, dbt, or similar modern data-stack technologies.
Responsibilities
- Architect scalable, robust, and cost-effective data platforms (data lake, warehouse, streaming) on cloud services (AWS, Azure, GCP).
- Lead the design, development, and deployment of AI-powered solutions by leveraging platforms such as Amazon Bedrock, Snowflake Cortex, and emerging generative AI technologies to support scalable, data-driven innovation.
- Create and optimize data models and schemas tailored to business needs, enabling efficient data retrieval and analysis.
- Manage and enhance PostgreSQL databases, focusing on performance tuning, stored procedures, and data quality assurance.
- Lead efforts to improve data pipelines by identifying opportunities for increased efficiency, reliability, and scalability.
- Oversee the design, implementation, and maintenance of batch and real-time ETL/ELT processes (AWS Glue, Apache Airflow, dbt, etc.).
- Ensure high availability, reliability, and performance tuning of data workflows and databases (PostgreSQL, Snowflake, Databricks).
Other
- 6+ years of hands-on data-engineering experience, including 1-2 years in a leadership role.
- Excellent written and verbal communicator, with the ability to effectively present complex data and insights to both technical and non-technical stakeholders.
- Travel may be required on rare occasions (< 5% travel); may require air travel and/or overnight stay of one or more nights.
- Work primarily in an office environment.
- We are an Equal Employment Opportunity (“EEO”) Employer.
