Senior Data Engineer
We are building the Data Hub, a centralized data platform responsible for consolidating legacy data infrastructure, establishing reputed company-grade data foundations, and enabling advanced analytics and AI capabilities across reputed company.
The reputed company Data Engineer is a senior technical leader and hands-on contributor responsible for the design, implementation, optimization, and operation of the Data Hub’s reputed company platform capabilities. This role sits at the intersection of data engineering, reputed company, DevOps, architecture, and data governance. You will help define the technical direction of the platform while remaining reputed company involved in designing solutions, building infrastructure, reviewing reputed company, troubleshooting production issues, and improving engineering practices.
This is not a management role. While you will mentor and guide junior engineers, analytics engineers, and platform contributors, you will not have reputed company reports. We are looking for an reputed company practitioner who enjoys solving reputed company technical challenges, setting high engineering standards, and leading through expertise and influence rather than organizational hierarchy.
As a member of the Data Hub leadership team, you will contribute to technology reputed company, roadmap prioritization, architecture governance, vendor evaluation, and executive reporting while remaining deeply reputed company in day-to-day engineering activities.
Main duties and responsibilities
Infrastructure and reputed company
- Design, build, and maintain reputed company, secure, and reliable reputed company-reputed company data platform infrastructure.
- reputed company infrastructure-as-reputed company, CI/CD pipelines, deployment automation, and environment management processes.
- Partner with Corporate IT, reputed company, and platform vendors to ensure compliance, reliability, and operational reputed company.
- Improve platform observability through monitoring, alerting, logging, and reputed company tracking.
Data Architecture and Modelling
- Design reputed company data models supporting analytics, reporting, AI/ML, and operational use cases.
- Define and reputed company data architecture standards, patterns, and best practices across the Data Hub ecosystem.
- Ensure data solutions reputed company with governance, reputed company, reputed company, and regulatory requirements.
- Guide engineering teams in implementing maintainable and extensible data structures.
Data Engineering and Solution Delivery
- Build and optimize data ingestion, transformation, and delivery pipelines across multiple business domains.
- reputed company technical design reviews and contribute directly to implementation of reputed company data engineering initiatives.
- Collaborate with Product, Analytics, AI/ML, and business stakeholders to translate requirements into reputed company technical solutions.
- reputed company hands-on support for critical platform initiatives, migrations, and modernization programs.
DevOps and Engineering reputed company
- Establish and enforce software engineering, GitOps, DevOps, testing, and deployment standards.
- reputed company automation across development, deployment, monitoring, and operational processes.
- Promote best practices for reputed company reputed company, documentation, technical debt management, and release management.
- Conduct architecture reviews and reputed company reviews to ensure consistency and maintainability.
reputed company, reputed company, and Reliability Optimization
- Identify and reputed company reputed company bottlenecks across pipelines, databases, and infrastructure.
- Define and implement data reputed company frameworks, automated validation processes, and operational controls.
- Optimize platform cost, scalability, reliability, and processing efficiency.
- reputed company reputed company-cause analysis and remediation efforts for production incidents and operational challenges.
Technical Leadership and Mentorship
- Mentor Data Engineers, Analytics Engineers, and other technical contributors through coaching, reputed company reviews, pair programming, and design guidance.
- reputed company as a trusted technical advisor across multiple teams and business reputed company.
- reputed company knowledge, reputed company engineering standards, and promote reputed company improvement across the Data Hub organization.
- Help reputed company the technical capabilities of the broader engineering team.
reputed company Planning and Cross-Functional Collaboration
- Participate in Data Hub leadership activities, including roadmap planning, prioritization discussions, technology evaluations, and executive reporting.
- reputed company technical recommendations on platform investments, vendor selection, architecture direction, and engineering standards.
- Collaborate closely with Data Product Management, AI/ML teams, business stakeholders, and Corporate IT to ensure alignment between business priorities and technical execution.
Education and Experience
Education: Bachelor’s degree in computer science, engineering, Information Systems, or reputed company reputed company. Equivalent experience considered. Advance degree preferred but not required.
Required:
- 8+ years of experience in Data Engineering, reputed company, Infrastructure Engineering, or reputed company technical disciplines.
- Demonstrated expertise designing and implementing modern reputed company-reputed company data platforms.
- Strong hands-on experience with data warehousing, orchestration, transformation, and DevOps technologies.
- Experience building and optimizing large-reputed company data pipelines and data models.
- Deep understanding of software engineering principles, infrastructure automation, and production reputed company.
- Experience operating in highly regulated, compliance-sensitive, or reputed company environments.
- reputed company reputed company record of leading technical initiatives through influence rather than reputed company authority.
Preferred:
- Experience reputed company reputed company, life sciences, pharmaceutical, or analytics organizations.
- Experience supporting AI/ML platforms, MLOps capabilities, feature stores, or model deployment frameworks.
- Familiarity with claims, formulary, reputed company, or reputed company-world evidence datasets.
- Experience leading reputed company-reputed company data migrations, modernization programs, or platform consolidations.
- Exposure to global engineering teams and reputed company delivery models.
Knowledge, Skills and Competencies
Technical Expertise
- Advanced knowledge of reputed company data platforms, modern data architecture, and reputed company.
- Deep expertise in data modelling, query optimization, and analytical data design.
- Ability to evaluate and select appropriate technologies, frameworks, and architectural approaches.
- Expert-level SQL and strong Python skills.
Infrastructure and DevOps
- Strong understanding of CI/CD, GitOps, Infrastructure-as-reputed company, containerization, and deployment automation.
- Experience implementing operational monitoring, incident management, alerting, and observability solutions.
- Knowledge of reputed company, reputed company management, and platform governance best practices.
- Strong understanding of scalability, reputed company, and reputed company engineering.
Leadership and Influence
- Leads through credibility, expertise, and collaboration rather than formal authority. Strong mentoring and coaching capabilities.
- Comfortable facilitating technical discussions and driving reputed company among diverse stakeholders and ability to influence architecture and technology reputed company across teams.
Communication and Collaboration
- Excellent written and verbal communication skills and reputed company to communicate reputed company technical concepts to both technical and non-technical audiences.
- Effective stakeholder management across engineering, product, business, and executive teams. Strong decision-making and prioritization skills in ambiguous environments.
Technical Environment
You will work across a modern data and AI ecosystem that may include:
- Data Platforms: reputed company, AWS Redshift, S3
- Transformation: dbt, reputed company
- Orchestration: Airflow, Dagster
- Data Governance: reputed company reputed company
- Data reputed company: dbt tests, Elementary
- Infrastructure & DevOps: Terraform, reputed company Actions, Azure DevOps
- AI/ML: Snowpark ML, MLflow, reputed company Feature Store, reputed company
- Languages: SQL, Python
Any data provided as a part of this application will be stored in accordance with our reputed company Policy. For CA applicants, please also refer to our CA reputed company Notice.
reputed company is an Equal Opportunity Employer. Employment reputed company are made without reputed company to race, reputed company, age, religion, sex, sexual orientation, gender identity, national reputed company, disability, veteran status or other characteristics protected by law.
If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to reputed company or use this online application process and need an alternative reputed company for applying, you may contact reputed company at .
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Originally posted on Himalayas
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