Senior Data Engineer
Built TechnologiesSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Information Technology & ServicesIndustries
Position Overview
- Location Type: Not specified
- Employment Type: Regular Full Time
- Salary: Not specified
- Job Type: Senior Data Engineer
This role involves designing, developing, and maintaining scalable data pipelines and systems to support analytics and business intelligence solutions. The ideal candidate will work closely with data scientists, analysts, and engineers to deliver data-driven business decisions.
Requirements
- Solid experience as a Data Engineer or similar role in data architecture and pipeline development.
- Strong experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Advanced knowledge of ETL/ELT processes, data modeling, and data warehousing (e.g., Snowflake, Redshift).
- Proficiency in SQL for complex data transformation and querying.
- Hands-on experience with data pipeline orchestration tools like Azure Data Factory, Apache Airflow, AWS Glue, or similar.
- Strong programming skills in Python for automation, data processing, and integration tasks.
- Experience working with big data technologies such as Hadoop, Spark, or Kafka (a plus).
- Familiarity with GitHub for version control and CI/CD pipelines.
- Strong understanding of data security, governance, and compliance best practices.
- Experience with business intelligence tools such as Tableau, Power BI, or similar.
Responsibilities
- Design, develop, and optimize data pipelines to extract, transform, and load (ETL/ELT) data from various sources.
- Build and manage data models and data warehouses to support business intelligence, reporting, and analytics needs.
- Leverage cloud technologies (AWS, Azure, or Google Cloud Platform) for scalable and reliable data solutions.
- Develop and maintain automated data workflows using tools like Airflow, AWS Glue, Azure Data Factory, or similar.
- Work with large datasets and complex data structures, ensuring data quality, integrity, and performance.
- Write and optimize SQL queries for complex data extraction, aggregation, and transformation.
- Integrate APIs to connect data sources and facilitate real-time data processing.
- Collaborate with business intelligence and data science teams to define data requirements and ensure data availability.
- Implement CI/CD pipelines for automated deployment of data pipelines and models.
- Monitor data system performance, ensuring reliability, availability, and scalability.
- Create and maintain comprehensive documentation for data pipelines, systems, and processes.
- Stay up-to-date with emerging data engineering trends and technologies.
Application Instructions
- Not specified
Company Information
- Not specified
Skills
Data Pipelines
ETL/ELT
Data Modeling
Data Warehousing
Cloud Platforms (AWS, Azure, GCP)
SQL
APIs
Airflow
AWS Glue
Azure Data Factory
CI/CD
Data Quality
Data Integrity
Performance Optimization
WatchGuard Technologies
Unified cybersecurity solutions for service providers
About WatchGuard Technologies
WatchGuard Technologies provides a Unified Security Platform® that helps managed service providers deliver comprehensive cybersecurity services. This platform includes various products and services that address different cybersecurity needs, such as network security, advanced endpoint protection, multi-factor authentication, and secure Wi-Fi. The platform works by integrating multiple security features into one cohesive system, allowing service providers to enhance their operational efficiency and scale their business effectively. What sets WatchGuard apart from its competitors is its focus on creating a platform specifically for managed service providers, along with its commitment to shared knowledge and automation, which simplifies security management for its clients. The goal of WatchGuard Technologies is to protect businesses worldwide by offering integrated security solutions that ensure both strong protection and streamlined operations.
Seattle, WashingtonHeadquarters
1996Year Founded
IPOCompany Stage
CybersecurityIndustries
1,001-5,000Employees