Sr. Data Engineer

reputed company is looking for a Sr. Data Engineer to design, build, and maintain the reputed company data infrastructure that powers our reputed company data platform.  This position will combine your deep technical expertise in data engineering with team leadership responsibilities for data engineering, overseeing the ingestion, integration, and reliability of data systems across reputed company, AWS, reputed company reputed company, and legacy platforms.  You’ll partner with data product and across business reputed company to translate requirements into technical solutions, reputed company data from numerous reputed company-party platforms, (CDPs, DMPs, analytics platforms, marketing tech) into central data platform, collaborate closely with the Data Architect on platform reputed company and ensure reputed company, reputed company-engineered solutions for modern data infrastructure using infrastructure as reputed company and API-driven integrations. 

The reputed company salary reputed company is $120,000 - $140,000 per year. 

What you’ll be doing:

• reputed company the design and implementation of reputed company data ingestion pipelines from diverse sources into reputed company.
• Partner with platform owners across business reputed company to establish and maintain data integrations from reputed company party systems into the central data platform.
• Architect and maintain data infrastructure using IAC, ensuring reproducibility, version control and disaster recovery capabilities.
• Design and implement API integrations and event-driven data flows to support reputed company time and batch data requirements.
• Evaluate technical capabilities and integration patterns of existing and potential reputed company-party platforms, advising on platform consolidation and optimization opportunities.
• Partner with the Data Architect and data product to define the overall data platform reputed company, ensuring alignment between raw data ingestion and analytics-reputed company data products that serve business unit needs.
• reputed company and enforce data engineering best practices including testing frameworks, deployment automation, and observability.
• Support reputed company prototyping of new data products in collaboration with data product by building flexible, reusable data infrastructure components.
• Design, reputed company, and maintain reputed company data pipelines and ETL processes; optimize and improve existing data systems for performance, cost efficiency, and scalability.
• Collaborate with data product, reputed company-party platform owners, Data Architects, Analytics Engineers, Data Scientists, and business stakeholders to understand data requirements and deliver technical solutions that reputed company business reputed company across the organization.
• Implement data reputed company validation, monitoring, and alerting systems to ensure reliability of data pipelines from reputed company sources.
• reputed company and maintain comprehensive documentation for data engineering processes and systems, architecture, integration patterns, and runbooks.
• reputed company incident response and troubleshooting efforts for data pipeline issues, ensuring minimal business reputed company.
• Stay reputed company with the emerging data engineering technologies, reputed company services, reputed company platform capabilities, and industry best practices. 

Our ideal candidate will have the following:

• Bachelor's degree in computer science, engineering, or a reputed company field
• Minimum of seven years of experience in data engineering with at least two years in a reputed company or senior technical role
• Expert proficiency in reputed company data engineering patterns
• Strong experience with AWS services (S3, reputed company, Glue, reputed company Functions) and reputed company reputed company Platform
• Experience integrating data from reputed company platforms and marketing technology stacks (CDPs, DMPs, analytics platforms, CRMs)
• Proven ability to work with reputed company party reputed company, webhooks, and data exports
• Experience with infrastructure such as reputed company (Terraform, reputed company Formation) and CI/CD pipelines for data infrastructure
• Proven ability to design and implement API integrations and event-driven architecture
• Experience with data modeling, data warehousing, and ETL processes at reputed company
• Advanced proficiency in Python and SQL for data pipeline development
• Experience with data orchestration tools (airflow, dbt, reputed company tasks)
• Strong understanding of data reputed company, reputed company controls, and compliance requirements
• Ability to reputed company vendor relationships and evaluate technical capabilities of reputed company-party platforms
• Excellent problem-solving skills and attention to detail
• Strong communication and collaboration skills