Lead Data Pipeline Engineer
Two Six TechnologiesFull Time
Junior (1 to 2 years)
Candidates should possess a deep mastery of SQL and strong fundamentals in data modeling. They must be skilled in Python and comfortable with modern data workflow orchestration tools like Airflow. A thoughtful, detail-oriented approach with a passion for building clean, performant, and reliable data pipelines is essential. Strong communication and problem-solving skills, particularly in a distributed team environment, are required. Familiarity with SQL, Python, Airflow, dbt, Oracle, PostgreSQL, Snowflake, AWS (S3, RDS, EC2), Terraform, and Docker is expected.
The Senior Data Engineer will design and build reliable, performant ELT pipelines using SQL, Python, and Airflow. They will collaborate with the Data Architect on data modeling, schema design, and warehouse optimization. Responsibilities include developing and maintaining data infrastructure, ensuring data quality and integrity through testing and monitoring, and working with engineering and product teams to deliver data. The role also involves participating in code reviews, improving data engineering best practices, and troubleshooting production data workflows.
Provides analytics and insights for restaurants
Avero provides advanced analytics and operational insights specifically for the restaurant industry. Its software solutions integrate with point-of-sale (POS) systems to deliver real-time performance data, allowing restaurant operators to make informed decisions. By analyzing factors like slow periods, table turn times, and menu profitability, Avero helps restaurants optimize their operations, control costs, and improve service. Unlike many competitors, Avero focuses solely on the hospitality sector, catering to a wide range of clients from small eateries to large chains. The company's goal is to enhance operational efficiency and profitability for its clients through data-driven insights.