1.54M jobs liveBrowse

Analytics Engineer at ALD Development Corporation (USA) · Katori

Asks for

The ad says“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”
The ad says“Familiarity with CI/CD-driven data pipeline and infrastructure, with an Agile delivery approach using Scrum and Kanban methodologies”
The ad says“Strong knowledge of how data drives analytical and reporting activities, including automated marketing and personalization capabilities”
The ad says“Extensive experience leading AWS and cloud data platform transformations”
The ad says“Familiarity with CI/CD-driven data pipeline and infrastructure, with an Agile delivery approach using Scrum and Kanban methodologies”
The ad says“Extensive experience leading AWS and cloud data platform transformations”
The ad says“Strong knowledge of data architecture and data modelling practices, with the ability to cost-effectively manage data pipelines”
The ad says“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”
The ad says“Expertise in developing data warehouses and in-depth understanding of modern data architecture such as Data Lake, Data Warehouse, Lakehouse, and Data Mesh”
The ad says“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”
The ad says“Expertise in developing data warehouses and in-depth understanding of modern data architecture such as Data Lake, Data Warehouse, Lakehouse, and Data Mesh”
The ad says“Strong knowledge of data architecture and data modelling practices, with the ability to cost-effectively manage data pipelines”
The ad says“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”
The ad says“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”
The ad says“Expertise in developing data warehouses and in-depth understanding of modern data architecture such as Data Lake, Data Warehouse, Lakehouse, and Data Mesh”
The ad says“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”
The ad says“Familiarity with CI/CD-driven data pipeline and infrastructure, with an Agile delivery approach using Scrum and Kanban methodologies”
The ad says“Expertise in developing data warehouses and in-depth understanding of modern data architecture such as Data Lake, Data Warehouse, Lakehouse, and Data Mesh”
The ad says“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”
The ad says“Expertise in developing data warehouses and in-depth understanding of modern data architecture such as Data Lake, Data Warehouse, Lakehouse, and Data Mesh”
The ad says“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”
The ad says“Strong knowledge of how data drives analytical and reporting activities, including automated marketing and personalization capabilities”
The ad says“Support for QA and user acceptance testing processes, with innovative problem-solving skills and the ability to provide clear recommendations”
The ad says“Familiarity with CI/CD-driven data pipeline and infrastructure, with an Agile delivery approach using Scrum and Kanban methodologies”
The ad says“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”
The ad says“Support for QA and user acceptance testing processes, with innovative problem-solving skills and the ability to provide clear recommendations”
The ad says“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”

Recruiter for this role:

Britney Dias

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

Familiarity with CI/CD-driven data pipeline and infrastructure, with an Agile delivery approach using Scrum and Kanban methodologies

Ability to scope, estimate, and deliver committed work within deadlines, both independently and as part of an Agile team

Support for QA and user acceptance testing processes, with innovative problem-solving skills and the ability to provide clear recommendations

Understanding of the impact of changes to business rules on data processes

Excellent communication and influencing skills, especially in regard to data solutions and outcomes

Experience managing and leading a small team of data engineers

Self-driven and constantly seeking opportunities to improve data processes

Strong knowledge of how data drives analytical and reporting activities, including automated marketing and personalization capabilities

Person Specification

Self-motivator with a desire to learn new skills and embrace new technologies in a constantly changing technology landscape

Ability to thrive in a fast moving environment

Ability to show initiative, innovation and work independently when required

Ability to work at pace and tackle project challenges in a collegiate, collaborative way

Goal and outcome orientated

Thoroughness and attention to detail

Good communication skills (ability to present, inform and guide others)

Ability to bridge communications between technical and business focussed groups

Comfortable working with people at all levels in an organisation

About us: Our story

Collinson Group is a global leader in driving loyalty and engagement for many of the world’s largest companies. Predominantly through the provision of travel related benefits within a market leading digital travel ecosystem. The group offers a unique blend of industry and sector specialists who together provide market-leading experience in delivering products and services across four core capabilities: Loyalty, Lifestyle Benefits and Insurance.

The group provides unrivalled insight and expertise around affluent consumers and frequent travellers, creating and delivering products and services now accessible to over 400m end consumers.

We have more than 25 years’ experience, with 28 global locations, servicing over 800 clients in 170 countries, employing 1,800 people.

We have been bringing innovation to the market since inception – from launching the first independent global VIP lounge access Programme, Priority Pass to being the first to sell direct travel insurance in the UK through Columbus Direct and creating the first loyalty agency of its kind in the travel sector with ICLP. Today we still invest heavily in innovation to ensure that we continue to deliver superior customer experiences.

Key clients include: Visa, Mastercard, American Express, Cathay Pacific, British Airways, LATAM, Flying Blue, Accor, EasyJet, HSBC, Chase, HDFC.

Our mission is focused on doing good beyond profit, which for us means we seek out opportunities for our people to share in our success and that we give back to the communities and people within which we work.

Never short of ambition, the success of our business is delivered through the diverse and talented team of over 1,800 colleagues globally.

Equal Opportunities: Our commitment to inclusion

Collinson is an equal opportunity employer and welcomes differences in all their forms including: colour, race, ethnicity, gender identity, sexual orientation, neurodivergence, family status, age, individuals with disabilities and people from all backgrounds, cultures and experiences as we strongly believe this contributes to our on-going success.

We are focused on continually evolving our purpose driven, high performing culture, providing an environment where our people have the opportunity to achieve their full potential and do interesting and meaningful work. Our company values are: Act smarter, Do the right thing, One team and Be insight led. These help guide everything we do internally in terms of how we think, act and interact, right through to how we deliver value to our customers and clients.

If you need any extra support throughout the interview process, then please email us at recruitment@collinson.com

Reward & Benefits: What's in it for me?

You can look forward to a competitive salary and benefit plan including but not limited to:

Hybrid work arrangement (work from home/office)
26 calendar days Annual Leave
Health Insurance
Maternity leave (6 months- Paid)
Paternity leave (15 days- Paid)