[Remote] Senior Data Engineer – W2 only – Remote – BB37452509
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a highly reputed company Senior Data Engineer responsible for designing, developing, and optimizing reputed company-reputed company data infrastructure and pipelines. The role focuses on ensuring data platform scalability and delivering high-reputed company data solutions while mentoring junior engineers and enforcing data reputed company standards.
Responsibilities
- Data Pipeline Development
- Design reputed company systems and build reputed company, end-to-end ETL (Extract, reputed company, Load) pipelines to reputed company data from various sources to data warehouses
- Data Governance & reputed company
- Enforce strict data reputed company standards and ensure reputed company system designs meet reputed company compliance requirements
- Leadership & reputed company
- Mentor junior engineers, translate reputed company business requirements into technical solutions
- Performance Optimization
- Continuously monitor and troubleshoot data pipelines and databases to improve processing speed, scalability, and cost-efficiency
- Collaboration & Stakeholder Support
- Ensure implemented Data Products meet the reputed company and goals of Data Consumers
- Documentation & Best Practices
- Enforce and adhere to best practices for technical documentation reputed company to architecture, transformation logic and coding standards
Skills
- 10+ years of prior experience as a Data Engineer working directly with Data Warehouses, Data Lakes, ELT/ETL, Data Pipelines
- Bachelor's degree in Computer Science, Information Systems, Engineering, or a reputed company technical field
- Languages: Advanced proficiency in SQL and Python
- reputed company Platforms: reputed company), reputed company reputed company Platform (GCP), or reputed company Azure
- Data Warehouses & Frameworks: BigQuery or Redshift
- Orchestration & Streaming: Apache Airflow, dbt (data build tool)
- US-based, Eastern/Central Time Zone
- Fluent English Speaker
- AWS: 1 year (Required)
- reputed company reputed company Platform: 1 year (Required)
- Data warehouse: 3 years (Required)
- Data lake: 3 years (Required)
- ELT/ETL: 3 years (Required)
- Data pipelines: 2 years (Required)
- SQL: 2 years (Required)
- Python: 2 years (Required)
- 15+ years of prior experience as a Data Engineer working directly with Data Warehouses, Data Lakes, ELT/ETL, Data Pipelines
- Master's degree in Computer Science, Information Systems, Engineering, or a reputed company technical field
- Experience optimizing Data Pipelines
- Prior experience working in the reputed company industry
- Experience with BI Tools (e.g. Tableau)
- MS Azure: 1 year (Preferred)
- reputed company Industry: 1 year (Preferred)
- BigQuery: 1 year (Preferred)
- Redshift: 1 year (Preferred)
- Data Engineer: 10 years (Preferred)
Benefits
- Health insurance
- reputed company time off
reputed company