Senior Electrical Engineer performing electrical engineering design and construction support functions in Oak Ridge office. Involves leading teams and conducting various engineering assessments.
About the role
- Data Engineer delivering high-performance data solutions for a leading technology and consulting company. Involves building scalable cloud platforms and enabling data-driven decisions.
Responsibilities
- You will design and deliver high-performance data solutions supporting complex reporting functions, as well as migrating on-premises platforms to modern cloud-based ecosystems;
- You will work with large-scale financial datasets, ensuring secure, compliant, and low-latency data solutions that enable analytics and decision-making across the organization;
- You will design, develop, and maintain scalable data warehouse solutions in BigQuery, including dataset architecture, schema design, and data modeling (star/snowflake);
- You will design and implement a cloud-native data warehouse to replace on-premises infrastructure;
- You will optimize performance through partitioning, clustering, query tuning, and workload management;
- You will build data processing pipelines and workflows feeding BigQuery from multiple sources;
- You will implement data quality checks, validation frameworks, and reconciliation processes;
- You will work closely with product owners, analysts, to ensure solution align with the business requirements specification.
Requirements
- 5+ years of data engineering experience;
- Strong SQL knowledge, preferably on Google Cloud Platform (GCP);
- Experience orchestrating workflows with Cloud Composer (Apache Airflow), including DAG development, scheduling, monitoring, and dependency management;
- Hands-on experience building data processing pipelines using Dataflow (batch and streaming);
- Good understanding of data warehousing concepts, data flows, data feeds;
- Experience using Bitbucket for Git-based source control and collaboration;
- Ability to work collaboratively in a dynamic environment;
- Hands-on experience with Python/PySpark for scalable distributed data processing;
- Experience with Infrastructure as Code (Terraform, Ansible, Chef);
- Knowledge of shell scripting;
- Experience in financial services or regulated environments.
Benefits
- Health insurance
- Flexible work arrangements
- Professional development
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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