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Data & AI Engineer
Data & AI Engineer
- 4-6 years of Data Engineering experience with proven hands-on experience in Big Data technologies and Business Intelligence tools.
- Understanding of 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.
- Google Cloud Platform Expertise: Hands-on experience with GCP services like BigQuery, Dataflow, Cloud Storage, Pub/Sub, Cloud Composer (Airflow DAGs), and Cloud Functions.
- Programming Languages: Strong proficiency in Python and SQL for data ingestion, processing, and manipulation.
- ETL/ELT: Experience with ETL/ELT processes and data warehousing concepts.
- Data Modeling: Understanding of data modeling principles and techniques.
- Cloud Technologies: Knowledge of cloud computing concepts and standard processes.
- AI / ML: Experience with Statistical / Predictive Modeling, Machine Learning, A/B testing, and designing feature experiments
• AI Frameworks: •Experience supporting AI integrations ML pipelines including BigQuery ML, or other GCP AI/ML services
- BI Tools: Experience working with BI tools including Tableau and PowerBI
- Problem-Solving: Excellent analytical and problem-solving skills.
- Experience working with large datasets, ODL, identifying ingestion issues and proactively collaborating to resolve data related issues.
- Passion for travel/airports a plus.
- 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.
- Design, build, and maintain scalable data pipelines (batch and streaming) supporting real-time / 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.
Salary Range- $100,000-$120,000 a year
Location
New York, NY
Job Function
TECHNOLOGY
Role
Engineer
Job Id
403669
Desired Skills
Big Data
Salary Range
$100,000-$120,000 a year
Desired Candidate Profile
Qualifications : BACHELOR OF COMPUTER SCIENCE
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