Analytics Engineer
The Collinson Group2 months ago
Mumbai, IndiaSenior
Responsibilities
- Design, develop, and maintain low-code-enabled data pipelines for data collection, transformation, loading, and reporting.
- Build and maintain data warehouses and data lake solutions for reporting and analytics.
- Develop data models supporting business requirements and efficient data analysis.
- Lead AWS and cloud data platform transformations with emphasis on automation, performance, and rapid report generation.
- Ensure data availability, quality, governance, and suitability for business and analytics consumption.
- Collaborate with stakeholders and clients to understand data requirements and deliver low-code-enabled solutions.
- Develop and implement roadmaps for strategic data sets and communicate progress to technical and non-technical audiences.
- Prototype and adopt new data engineering approaches aligned with industry trends.
- Support quality assurance and user acceptance testing processes.
- Manage and lead a small team of data engineers.
- Promote modern data solutions and the value of high-quality data across the business.
Requirements
- Extensive experience leading AWS and cloud data platform transformations.
- Proven experience delivering large-scale data and analytical solutions in cloud environments.
- Hands-on experience implementing end-to-end data pipelines using AWS services, including data preparation, extraction, transformation, loading, normalization, aggregation, warehousing, data lakes, and governance.
- Expertise developing data warehouses and understanding modern data architectures including Data Lake, Data Warehouse, Lakehouse, and Data Mesh.
- Strong knowledge of data architecture, data modeling, and cost-effective data pipeline management.
- Familiarity with CI/CD-driven data pipelines and infrastructure.
- Ability to scope, estimate, and deliver work independently and within an Agile team.
- Experience supporting QA and user acceptance testing, solving problems, and providing clear recommendations.
- Understanding of how business-rule changes affect data processes.
- Excellent communication, influencing, presentation, and stakeholder collaboration skills.
- Experience managing and leading a small data engineering team.
- Self-motivated, detail-oriented, adaptable, innovative, and able to work independently in a fast-moving environment.
- Strong understanding of how data supports analytics, reporting, automated marketing, and personalization capabilities.
Benefits
- Hybrid work arrangement with work-from-home and office options.
- 26 calendar days of annual leave.
- Health insurance.
- Six months of paid maternity leave.
- Fifteen days of paid paternity leave.
- Competitive salary and benefits plan.
Tech Stack
Categories
Data Engineering
About The Collinson Group
Collinson Group builds travel experience and customer loyalty products for airlines, payment networks, and financial services brands, and sells travel insurance and assistance direct and via partners. Its portfolio includes Priority Pass and LoungeKey airport lounge access, plus loyalty strategy and rewards platforms used worldwide. Privately held and headquartered in London, the company was founded in 1985 and operates across the travel and financial services sectors.