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Description:
The Senior Data Engineer will be responsible for developing, optimizing, and automating data pipelines.
They will lead complex data projects, architect technical initiatives, and ensure scalability and performance of data solutions.
The role involves strategic planning, collaboration with senior management, and mentoring other engineers.
Responsibilities include pushing delivery speed and quality of data ELT, implementing innovative tooling and architecture patterns, and fostering a culture of data engineering excellence.
The position offers the opportunity to influence strategy and the technical roadmap, work with cutting-edge technologies, and be part of a rapidly growing organization.
The Senior Data Engineer will work on the Polaris platform, a modern data and marketing intelligence platform at Wpromote.
Requirements:
Minimum 7+ years of software development experience with expertise in Python, SQL, and data pipelines.
Experience in building and automating ETL/ELT pipelines using Airflow or similar workflow management software.
Proficiency in managing dbt models with macros and tests, Python scripting, API integrations, and software architecture.
Deep understanding of databases like PostgreSQL and BigQuery, including query optimization.
Familiarity with business intelligence tools like Looker, Google Cloud Platform, Kubernetes, and Terraform.
Knowledge of advanced data formats, data integration techniques, monitoring, logging tools, version control systems, and CI/CD tools.
Strong command of agile methodologies, continuous integration, and test-driven development.
Exceptional problem-solving skills, technical leadership, and ability to guide cross-functional teams and projects.