3 months ago
Bulgaria (city not specified)Senior
Responsibilities
- Discover, analyze, and assemble large, complex datasets that meet functional and non-functional business requirements.
- Build ETL pipelines for diverse data sources using primarily SQL and Python in AWS.
- Support Executive, Product, Engineering, and cross-functional stakeholders with data-related technical issues and needs.
- Develop data tools that help business departments build and optimize Nexo’s products.
- Maintain and optimize existing data models and data architecture.
- Identify and apply meaningful AI-driven optimizations to day-to-day work.
- Support self-service data initiatives across teams.
- Build and manage processes for data transformation, data structures, metadata, dependencies, and workloads.
- Predict and validate performance at 10x, 100x, and 1000x larger data volumes and proactively manage bottlenecks.
- Perform root cause analysis on internal and external data and processes to answer business questions and identify improvement opportunities.
Requirements
- Strong experience with relational SQL and NoSQL databases, including Postgres, Redshift, MySQL, MariaDB, Aurora, and MongoDB.
- Experience with Python.
- Experience with AWS services including S3, Athena, Redshift, and Glue.
- Experience building, optimizing, and supporting big data pipelines, architectures, and datasets.
- Experience performing root cause analysis on data and processes.
- Experience building processes for data transformation, data structures, metadata, dependency management, and workload management.
- Ability to predict and validate performance across substantially larger data volumes and manage bottlenecks in advance.
- Experience supporting and working with cross-functional teams in a dynamic environment.
Benefits
- Competitive remuneration package and annual performance-based bonuses.
- Comprehensive Learning Hub, career development opportunities, and continuous growth support.
- Primarily office-based hybrid work model with scheduled home-office flexibility.
- Customizable personal benefits package and additional health insurance.
- Wellness benefits including all-access sports cards, team sports activities, standing desks, and blue-light glasses.
- Free parking with a designated space, free electric bikes, and public transportation cards.
- Fresh fruit, snacks, and a well-stocked office kitchen.
- Regular department and company-wide team-building activities.
Tech Stack
Categories
Data Engineering
