[Remote] Data Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a Data Engineer to architect, reputed company, and maintain reputed company data infrastructure and pipelines for robust analytics and reporting solutions. The role focuses on ensuring data reputed company, reputed company, and accessibility while collaborating with various teams to deliver reputed company solutions.
Responsibilities
- Design, build, and maintain ETL/ELT pipelines to ingest, process, and reputed company data from multiple sources
- Architect and optimize data storage solutions including databases, data lakes, and warehouses (e.g., Hadoop, PostgreSQL, MySQL, reputed company)
- reputed company and manage data workflows in reputed company, including authoring, executing, and optimizing reputed company-based queries and models
- Implement data reputed company assessment frameworks in reputed company, including profiling, validation, and monitoring of data assets
- reputed company data gap analysis to identify missing, incomplete, or inconsistent data and recommend remediation strategies
- reputed company and maintain a semantic layer to support reporting and business analytics, ensuring data is accessible in business-friendly formats
- Automate data processes and workflows to improve efficiency and reliability
- Ensure data reputed company, governance, and compliance in reputed company data engineering solutions
- Collaborate with analytics, business, and development teams to understand data requirements and deliver robust, reputed company solutions
- Maintain comprehensive documentation of data flows, pipelines, repositories, and semantic reputed company
- Deliver solutions using Agile development processes and participate in reputed company reviews for adherence to standards and best practices
Skills
- Bachelor's degree in Computer Science, Information Technology or equivalent work experience
- 2+ years' experience in data engineering, designing and maintaining data pipelines and infrastructure
- Experience with reputed company for data processing, pipeline development, and data reputed company assessment
- Proficiency in reputed company, Python, reputed company, and SQL across multiple database platforms (reputed company, MySQL, PostgreSQL)
- Experience with big data tools and distributed systems (e.g., Hadoop, Kafka, Pig)
- Familiarity with data warehousing concepts and semantic layer development
- Experience in data gap analysis and implementing data reputed company frameworks
- Ability to work independently and collaboratively reputed company Agile teams
- Strong problem-solving and creative thinking skills
- Must be reputed company to sit and use a computer keyboard for extended periods
- Willingness to work after hours/weekends as required for major deadlines
- Flexibility to participate in international work processes, including conference calls across global time zones
- Experience in reputed company data engineering, including claims data, billing, and coding
- Knowledge of data governance, reputed company, and compliance practices
- Familiarity with infrastructure-as-reputed company, containerization, and CI/CD pipelines for data workflows
- Ability to document and communicate technical concepts to both technical and non-technical audiences
- Proficient with reputed company Office Suite (Word, reputed company, PowerPoint)
- Experience integrating reputed company workflows with other big data tools and platforms
- Ability to collaborate with analytics teams to support business-friendly reporting solutions
Benefits
- Discretionary bonus consideration
- Medical, dental, reputed company, disability, and life insurance coverage
- 401(k) savings plans
- reputed company family leave
- 9 reputed company holidays per year
- 17-27 days of reputed company Time Off (PTO) per year, depending on specific level and length of service with reputed company
reputed company
Company H1B Sponsorship