Senior Data Engineer
We are looking for a passionate and experienced Senior Data Engineer to join our team.
You will play a pivotal role in designing, building, and maintaining scalable data solutions that empower our teams with actionable insights and drive innovation across the organization.
Responsibilities
- Monitor storage and compute resources on Google Cloud Platform (GCP) to ensure optimal capacity and usage
- Support approximately 20 applications by addressing data needs and maintaining strong performance
- Use Enterprise Analytics Platform (EAP) and data warehouse solutions for data management and reporting
- Consolidate large, complex datasets from various sources, transforming them into accessible formats
- Develop and maintain data extraction, transformation, and pipeline architectures
- Identify opportunities to enhance data reliability, quality, and accessibility
- Address challenges related to organic data growth and storage scaling, improving monitoring capabilities
- Work closely with application teams to understand data requirements and share best practices
Requirements
- A minimum of 3+ years of experience in data engineering or a related field
- Proficiency in ELT, data modeling, and data integration, ingestion, manipulation, and processing
- Experience with GCP monitoring, EAP or data warehouse solutions, and tracking capacity vs usage
- Hands-on expertise with GitHub, Actions, Azure DevOps, and tools such as SQL DB, Synapse, Databricks, and Data Factory
- Familiarity with Glue, Airflow, Stream Analytics, Redshift, Kinesis, SonarQube, and PyTest
- Exceptional analytical and problem-solving skills with a proactive mindset
- Competency in managing large volumes, velocity, and variety of data
- Strong communication and collaboration skills to effectively work with cross-functional teams
Nice to have
- Knowledge of external technical ecosystems
- Familiarity with automation tools for monitoring and reporting
- Background in data modeling concepts
- Experience with dashboarding and visualization tools such as Tableau, Power BI, or Looker
- Previous exposure to financial services or enterprise environments
