Senior Data Engineer

Job Overview

We are seeking a skilled Data Engineer to join our team and drive our data infrastructure forward. In this role you will primarily focus on maintaining and enhancing our data warehouse and pipelines (80%) while also contributing to data analysis and reporting initiatives (20%). You'll work closely with cross-functional stakeholders to build robust data solutions and create actionable insights through compelling visualizations.

Key Responsibilities

Data Engineering

- Infrastructure Management: Maintain enhance and optimize existing data warehouse architecture and ETL pipelines.

- Pipeline Development: Design and implement scalable ETL/ELT processes ensuring data quality integrity and timeliness.

- Performance Optimization: Monitor and improve pipeline performance troubleshoot issues and implement best practices.

- Documentation: Create and maintain comprehensive documentation for data engineering processes architecture and configurations.

Data Analysis & Reporting

- Stakeholder Collaboration: Partner with business teams to gather requirements and translate them into technical solutions.

- Report Development: Build and maintain PowerBI dashboards and reports that drive business decisions.

- Data Modeling: Develop new data models and enhance existing ones to support advanced analytics.

- Insight Communication: Transform complex data findings into clear actionable insights for various departments.

Required Qualifications

Technical Skills

- Programming & Query Languages: Strong proficiency in Python SQL and PySpark.

- Big Data Platforms: Experience with cloud data platforms including Snowflake BigQuery and Databricks. Databricks experience highly preferred.

- Orchestration Tools: Proven experience with workflow orchestration tools (Airflow preferred).

- Cloud Platforms: Experience with AWS (preferred) Azure or Google Cloud Platform.

- Data Visualization: Proficiency in PowerBI (preferred) or Tableau.

- Database Systems: Familiarity with relational database management systems (RDBMS).

Development Practices

- Version Control: Proficient with Git for code management and collaboration.

- CI/CD: Hands-on experience implementing and maintaining continuous integration/deployment pipelines.

- Documentation: Strong ability to create clear technical documentation.

Experience & Communication

- Professional Experience: 3+ years in data engineering or closely related roles.

- Language Requirements: Fluent English communication skills for effective collaboration with U.S. based team members.

- Pipeline Expertise: Demonstrated experience building and maintaining production data pipelinesk