Role: Data+ AI Engineer
Location: NY (onsite)
If you are considering sending an application, make sure to hit the apply button below after reading through the entire description.
Notes: Looking for Data AI Engineer who is strong on GCP, AWS, machine learning, Big Data/Datawarehouse
Description
We are seeking a highly skilled and innovative Data & AI Engineer to design, build, and deploy scalable
data solutions and AI-driven systems. This role bridges data engineering and machine learning,
enabling advanced analytics, automation, and intelligent decision-making across the organization.
The ideal candidate has strong expertise in data architecture, machine learning pipelines, and
production-grade AI systems
You will collaborate closely with analytics, engineering, product, and business stakeholders to deliver
reliable, real-time, and actionable data that enhance the Card Member lounge journey. This role
requires strong expertise in cloud data engineering, data modeling, pipeline orchestration, and
enterprise data governance, along with a passion for building modern, resilient, and well-governed
data ecosystems.
How will you make an impact in this role?
• Design, build, and maintain scalable data pipelines (batch and streaming) supporting realtime / near-real-time data integration for Lounge Services Analytics use cases.
• Develop and optimize ETL/ELT processes for structured and unstructured data from various
backend DBs and sources including MongoDB, PostgreSQL, APIs, and third-party systems.
• Architect and manage cloud-native data infrastructure/warehouses within Google Cloud
Platform (BigQuery) environments.
• Orchestrate Data Transformations with Cloud Composer / Airflow DAGs.
• Enable trusted, analytics-ready datasets to support Tableau dashboards and analytics.
• Experience with observability and monitoring tools such as Datadog, CloudWatch,
Prometheus, or similar platforms.
• Implement data monitoring, logging, and observability frameworks to ensure data quality,
integrity, governance and security standards are met.
• Build AI / ML models and integrations to support predictive & personalized use cases
including lounge recommendations, capacity forecasting, and lounge optimization
• Collaborate with cross-functional teams including Analytics, Product & Business to define data
requirements and deliver solutions.
• Optimize data storage and processing for performance and cost-efficiency (partitioning and
indexing solutions).
• Implement and enforce data governance standards, including data classification, access
controls, and retention policies.
• Develop and maintain metadata management practices, including data lineage, catalog
documentation, and business glossary alignment.
Minimum Qualifications
• Bachelor’s degree in computer science, data engineering, other technical discipline, or
equivalent work experience. (Advanced degree preferred)
• 4-6 years of Data Engineering experience with proven hands-on experience in Big Data
technologies and Business Intelligence tools.
Understanding Agile or other rapid application development methods. Exposure to design
and coding across one or more platforms and languages as appropriate.
• Exposure to application design, software development, and automated testing methodologies.
• Experience with CI/CD practices using Git, Jenkins, and code integration/review processes.
• Backend platform: Experience building data connectors with relational & nonrelational
backend databases including MongoDB, PostgreSQL, and custom API Connectors.
1. Google Cloud Platform Expertise:
Hands-on experience with GCP services like BigQuery,
Dataflow, Cloud Storage, Pub/Sub, Cloud Composer (Airflow DAGs), and Cloud Functions.
2. Programming Languages:
Strong proficiency in Python and SQL for data ingestion, processing,
and manipulation.
3. ETL/ELT: Experience with ETL/ELT processes and data warehousing concepts.
4. Data Modeling: Understanding of data modeling principles and techniques.
5. Cloud Technologies: Knowledge of cloud computing concepts and standard processes.
6. AI / ML: Experience with Statistical / Predictive Modeling, Machine Learning, A/B testing, and
designing feature experiments
7. AI Frameworks:
•Experience supporting AI integrations ML pipelines including BigQuery ML, or
other GCP AI/ML services
8. BI Tools: Experience working with BI tools including Tableau and PowerBI
9. Problem-Solving: Excellent analytical and problem-solving skills.
10. Experience working with large datasets, ODL, identifying ingestion issues and proactively
collaborating to resolve data related issues.
11. Passion for travel/airports a plus.
Preferred Qualifications
· Experience with LLMs, Generative AI, or NLP systems.
· Familiarity with feature stores and model registries.
· Knowledge of data governance and compliance standards.
· Experience with real-time analytics and streaming architectures.
· Certifications in cloud or AI technologies.
Key Competencies
· Strong analytical and problem-solving skills.
· Ability to design scalable, production-grade systems. xsgimln
· Excellent communication and cross-functional collaboration skills.