Remote Senior Data Engineer

Description:

• The Data Engineering team at TRACTIAN is responsible for building and maintaining the infrastructure that handles massive datasets flowing through the company's systems.
• This department ensures the availability, scalability, and performance of data pipelines, enabling seamless access and processing of both real-time and historical data.
• The core objective of the team is to architect robust, fault-tolerant data systems that support everything from analytics to machine learning, ensuring that the right data is in the right place, at the right time.
• As a Data Engineer, you will build data pipelines that enable data extraction, loading, and transformation for various contexts.
• The goal is to create a reliable, available, and trustworthy system that underpins the entire analytics pipeline.
• You will face challenges that may vary from large datasets to high data throughput systems, utilizing a diverse set of techniques for data handling.
• You will also lead initiatives focused on data pipeline reliability and observability.

Requirements:

• A Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field is required.
• Advanced English proficiency is necessary.
• A minimum of 2 years of experience in Data Engineering or Analytics is required.
• Candidates must be highly experienced in SQL and database management systems such as PostgreSQL and Clickhouse.
• A strong understanding of data warehousing concepts and experience with ETL tools (e.g., Airflow, dbt) is essential.
• Strong experience with programming languages such as Python and familiarity with modern data stack tools for data engineering (e.g., DuckDb, Polars) is required.
• Experience with streaming tools (e.g., Kafka) is necessary.
• Familiarity with cloud-based data platforms like AWS Redshift is required.
• Experience with GoLang or Rust is considered a plus.
• Experience with observability tools (e.g., Datadog, Grafana) is also a plus.

Benefits:

• The position offers the opportunity to work with massive datasets and cutting-edge data engineering technologies.
• Employees will have the chance to collaborate with a talented team of backend and analytics engineers.
• The role provides a platform for professional growth and the ability to lead initiatives in data reliability and observability.
• There is an emphasis on continuous learning and documentation of best practices to enhance team knowledge and efficiency.
• The position allows for the creation of internal data products, such as dashboards, contributing to the overall analytics capabilities of the organization.