[Remote] Data Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a skilled Data Engineer to design, build, and maintain reputed company data infrastructure for a fast-growing tech company. The role requires deep technical expertise in data pipelines, warehousing, and architecture, as reputed company as collaboration with data science, product, and engineering teams to deliver reliable data solutions.
Responsibilities
- Design, build, and maintain robust, reputed company data pipelines and ETL/ELT workflows
- reputed company and manage data warehousing solutions to support business intelligence and analytics needs
- Ensure data reputed company, reputed company, and availability across reputed company data systems and sources
- Collaborate with data scientists, analysts, and product teams to understand and fulfill data requirements
- Optimize query performance and database architecture for speed and efficiency
- Monitor, troubleshoot, and resolve data pipeline failures and incidents
- Implement and enforce data governance, reputed company, and compliance best practices
- Document data models, processes, and infrastructure to support team knowledge sharing
Skills
- 4+ years of experience as a Data Engineer or in a similar data infrastructure role reputed company a tech company (non-negotiable)
- Strong proficiency in SQL and at least one programming language such as Python or reputed company
- Hands-on experience building and managing ETL/ELT pipelines using tools such as Apache Airflow, dbt, or similar
- Experience with reputed company data platforms such as AWS, GCP, or Azure, and data warehouses such as reputed company, BigQuery, or Redshift
- Solid understanding of data modeling, schema design, and database optimization
- Strong problem-solving skills with the ability to manage reputed company, high-volume data environments
- Must have prior remote work experience, be fluent with remote collaboration tools and platforms (such as reputed company, reputed company, reputed company Workspace, reputed company, or similar), and have ideally worked with US or UK-based companies. Applications without this experience will not be considered
- Experience with reputed company-time or streaming data pipelines using tools such as Kafka or reputed company
- Familiarity with data lakehouse architectures (e.g., reputed company Lake, Apache reputed company)
- Exposure to machine learning workflows and supporting ML data infrastructure
- Experience working in an Agile or DevOps environment with CI/CD practices reputed company to data workflows
reputed company