Location - Mumbai only (Hybrid)About the Company:Collinson is a global, privately-owned company dedicated to enhancing the travel experience for millions worldwide. With over 30 years of expertise, we help top brands like American Express, British Airways, and Sephora engage and retain high-value customers. Our innovative solutions, including the world-renowned Priority Pass, set the standard for customer loyalty in the Financial Services, Travel, and Retail sectors. With 2,000 passionate employees across 20 locations, we offer the chance to be part of a dynamic, entrepreneurial team that’s shaping the future of customer experiences worldwide. Join us and help create smarter, more rewarding journeys.About the Role:The Full-Stack Data Engineer at Collinson will play a key role in delivering customer-focused global solutions by designing, building, and maintaining data pipelines in AWS and other cloud environments. This hands-on position involves driving innovation, modernizing the data landscape, and mentoring junior team members. Strong communication skills are essential for collaborating with stakeholders and delivering impactful, data-driven solutions. Knowledge, skills and experience requiredExtensive experience leading AWS and cloud data platform transformationsProven track record of delivering large-scale data and analytical solutions in a cloud environmentHands-on experience with end-to-end data pipeline implementation on AWS, including data preparation, extraction, transformation & loading, normalization, aggregation, warehousing, data lakes, and data governanceExpertise in developing Data WarehousesIn-depth understanding of modern data architecture such as Data Lake, Data Warehouse, Lakehouse, and Data MeshStrong knowledge of data architecture and data modelling practicesCost-effective management of data pipelinesFamiliarity with CI/CD driven data pipeline and infrastructureAgile delivery approach using Scrum and Kanban methodologiesAbility to scope, estimate, and deliver committed work within deadlines, both independently and as part of an agile teamSupporting QA and user acceptance testing processesInnovative problem-solving skills and ability to provide clear recommendationsUnderstanding of the impact of changes to business rules on data processesExcellent communication and influencing skills, especially in regard to data solutions and outcomesExperience managing and leading a small team of data engineersSelf-driven and constantly seeking opportunities to improve data processesStrong knowledge of how data drives analytical and reporting activities, including automated marketing and personalization capabilitiesPython, PySpark, SQL, NoSQL DBs (Mongo), Bash Scripting, Snowflake, Kafka, Nifi, Glue, Databrew, AWS, Kinesis, Terraform, APIs, and LakehouseIf you thrive in a dynamic, fast-paced environment and are passionate about cutting-edge web development, we'd love to hear from you!
Job Title
Senior Data Engineer