The Role
Design, build, and maintain low-code enabled data pipelines, data lakes/warehouses, and data models on cloud (AWS). Ensure data quality, automation, and rapid reporting; collaborate with stakeholders, prototype innovations, and drive a strategic data roadmap.
Summary Generated by Built In
Key Responsibilities
- Design, develop, and maintain low-code enabled data pipelines for collecting, transforming, and loading data into various data stores and build insightful reports.
- Build and maintain data warehousing and data lake solutions that support quick and efficient reporting and insights
- Develop and deploy data models that cater to various business requirements and enable efficient data analysis
- Lead the design of data solutions with a focus on automation, performance, and quick report generation
- Ensure data is readily available for business and analytics consumption and monitor the quality of the data
- Collaborate with cross-functional teams and stakeholders to understand data requirements and drive data-driven initiatives
- Prototype and adopt new approaches to drive innovation into the solutions and ensure they are aligned with industry trends and advancements
- Develop and implement the data roadmap for strategic data sets and communicate progress to both technical and non-technical stakeholders
- Communicate complex data solutions in a clear and understandable manner to both experts and non-experts
- Interact with stakeholders and clients to understand their data requirements and provide low-code enabled solutions
- Stay up-to-date with industry trends and technology advancements in data engineering and analytics
- Champion the importance of modern data solutions across the business and promote the value of obtaining good quality data.
Knowledge, Skills, and experience required
- Extensive experience leading AWS and cloud data platform transformations
- Proven track record of delivering large-scale data and analytical solutions in a cloud environment
- Hands-on experience in end-to-end data pipeline implementation using AWS services, including data preparation, extraction, transformation & loading, normalization, aggregation, warehousing, data lakes, and data governance
- Expertise in developing data warehouses and in-depth understanding of modern data architecture such as Data Lake, Data Warehouse, Lakehouse, and Data Mesh
- Strong knowledge of data architecture and data modelling practices, with the ability to cost-effectively manage data pipelines
- Data Modelling,Python, SQL, NoSQL DBs (Mongo), Snowflake, AWS Cloud, APIs, Tableau, PowerBI, DQ Framework, DWH, Real time reporting
Skills Required
- Extensive experience leading AWS and cloud data platform transformations
- Proven track record delivering large-scale data and analytical solutions in a cloud environment
- Hands-on experience implementing end-to-end data pipelines using AWS services (ETL, data preparation, normalization, aggregation, warehousing, data lakes, governance)
- Expertise developing data warehouses and familiarity with modern data architectures (Data Lake, Data Warehouse, Lakehouse, Data Mesh)
- Strong knowledge of data architecture and data modelling practices and cost-effective pipeline management
- Proficiency in Data Modelling, Python, SQL, NoSQL (MongoDB), Snowflake, AWS Cloud, APIs, Tableau, Power BI, DQ Framework, DWH, and real-time reporting
- Ability to communicate complex data solutions clearly to technical and non-technical stakeholders and collaborate cross-functionally
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The Company
What We Do
Collinson is a privately owned global loyalty and benefits company that designs customer-experience products and solutions for leading brands. Its expertise serves financial services, travel and retail clients, helping them acquire, engage and retain customers, strengthen loyalty, enrich travel experiences, protect customers and assist them in times of need. Its offerings include Priority Pass and reward-programme partnerships across more than 170 countries.
