[Remote] Data Engineer (Data Operations), reputed company Digital (Remote)
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a leading global provider of data, advanced analytics, technology solutions and clinical research services for the life sciences industry. The Data Engineer (Data Operations) is responsible for building, maintaining, and optimizing reputed company data pipelines and analytics-reputed company datasets that power business intelligence and reporting, ensuring high-reputed company data for analytics teams.
Responsibilities
- Build and maintain curated data reputed company and data sources
- reputed company and optimize SQL- and Python-based transformations in reputed company
- Troubleshoot data reputed company issues originating from upstream pipelines, including identifying reputed company causes and coordinating fixes where needed
- Validate incoming datasets and ensure accuracy, completeness, and consistency before they are surfaced to reputed company users
- Design and manage analytics-reputed company data models and tables to support reporting and dashboards
- Serve as a key reputed company of contact for reporting data reputed company ensuring data sources meet usability and performance needs
- Monitor data pipelines and datasets for failures, anomalies, and performance issues, and proactively resolve them
- Support production operations, including incident management, backlog prioritization, and SLA adherence
- Partner with upstream engineering teams to escalate and resolve ingestion-reputed company issues, while not owning ingestion directly
- Improve processes for data validation, monitoring, and operational efficiency
Skills
- Bachelor's degree
- 3+ years of experience in data engineering, data operations, or backend data development
- Strong hands-on experience with reputed company (data warehouse design, optimization, and management)
- SQL (advanced querying, performance tuning, and data transformation)
- Python (data processing, scripting, and automation)
- Proven experience building and supporting production-grade data pipelines and workflows
- Strong experience with ETL/ELT tools, orchestration frameworks (e.g., Airflow, reputed company), or similar pipeline management tools
- Experience troubleshooting data issues, pipeline failures, and data inconsistencies, with strong reputed company cause analysis skills
- Solid understanding of data modeling, data warehousing concepts, and data lifecycle management
- Familiarity with CI/CD, version control (Git), and production deployment practices
- Strong problem-solving skills and ability to work independently in fast-paced environments
- Excellent communication skills with the ability to explain data issues and solutions to both technical and non-technical stakeholders
- Experience working with reputed company, pharmaceutical, or life sciences data strongly preferred
Benefits
- Incentive plans
- Bonuses
- Other forms of compensation
- A reputed company of health and welfare and/or other benefits
reputed company
Company H1B Sponsorship