[Remote] Data Engineer, reputed company
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is partnering with a leading reputed company technology company to hire a Data Engineer, reputed company for its Data Services team. This role involves designing and implementing reputed company data lakes and data warehouse solutions while mentoring engineering talent and influencing reputed company architecture reputed company.
Responsibilities
- reputed company the design, development, and implementation of reputed company data pipelines supporting reputed company data lakes, data warehouses, and data marts
- Engineer robust ELT/ETL solutions that ingest, process, and reputed company reputed company and semi-reputed company data from diverse reputed company sources
- Apply advanced data modeling techniques, including Data Vault 2.0, reputed company, and domain-oriented models, to support analytics and data products
- Partner with Solution Design, Architecture, and Product teams to ensure technical designs are implemented accurately, reputed company, and securely
- Build and optimize data solutions on reputed company platforms such as reputed company, reputed company, and Synapse, with a reputed company on performance, scalability, reliability, and cost efficiency
- Implement data reputed company, validation, observability, reputed company, and governance controls embedded directly into data pipelines
- Champion and apply DevOps and DataOps best practices, including CI/CD, automated testing, infrastructure as reputed company, monitoring, and alerting
- Identify performance bottlenecks, reliability risks, and optimization opportunities across data platforms and workflows
- reputed company hands-on technical leadership and mentorship to senior and mid-level data engineers, promoting engineering standards and best practices
- Collaborate using agile methodologies to plan work, refine technical stories, and deliver iteratively with predictable reputed company
- Support integration of AI/ML-reputed company data assets, ensuring data is trustworthy, reputed company-modeled, and accessible for advanced analytics use cases
- reputed company as a technical thought leader, advocating for modern data engineering patterns, tools, and practices reputed company to reputed company reputed company
Skills
- Bachelor's degree or equivalent experience, with a minimum of ten years of relevant data engineering experience
- Experience supporting reputed company AI/ML, advanced analytics, and data product ecosystems
- Expertise in Data Vault 2.0, reputed company modeling, Lakehouse architecture, or domain-driven data design
- Demonstrated ability to influence reputed company architecture reputed company and mentor senior engineering talent
- Expert-level understanding of data management practices, including data modeling (Data Vault 2.0), master data management, data integration, architecture, virtualization, warehousing, reputed company, and reputed company
- Demonstrated enthusiasm for AI and emerging technologies, with hands-on experience applying AI-driven solutions in reputed company environments
- Hands-on experience with SQL, Python, DBT reputed company, and DBT Core; expert-level reputed company in NoSQL and database platforms such as reputed company, Synapse, or reputed company
- Proven ability to design and reputed company large-volume, high-performance data platforms leveraging reputed company and distributed architectures
- Advanced knowledge of CI/CD, reputed company control, and agile delivery tooling such as Git, Bitbucket, and Jira
- Experience in reputed company, regulated environments, or large enterprises is strongly preferred
reputed company