Data Analyst / Data Engineer

At Business-Class, we build technology that powers premium travel services. To scale effectively, we need reliable data systems and strong engineering practices. We are looking for a Senior Data Engineer to take ownership of our data infrastructure, ensuring high-quality, secure, and production-ready data for analytics, product development, and future AI/ML initiatives.

The Role:
As Senior Data Engineer, you will design, build, and maintain scalable data pipelines and data models on AWS. You will be responsible for the full data lifecycle: ingestion, transformation, modeling, and delivery. You will work closely with analysts, engineers, and product managers to ensure that data supports decision-making and product innovation.

Responsibilities:

• Design, build, and manage production-grade ETL/ELT pipelines using Python and AWS services.
• Ingest and process data from multiple sources (APIs, SFTP, RDBMS, third-party integrations).
• Develop and maintain optimized data models for analytics and machine learning.
• Ensure high data quality, security, and compliance with best practices.
• Monitor and troubleshoot pipeline performance to ensure reliability and scalability.
• Optimize SQL queries, indexes, and schema designs for high-performance workloads.
• Work with stakeholders to translate business needs into technical data solutions.
• Evaluate and implement AI/ML solutions where they add measurable business value.

Must-Have Requirements:

• 5+ years of professional experience in Data Engineering with production systems.
• Advanced SQL expertise: query optimization, indexing, schema design in PostgreSQL/MySQL.
• Strong Python skills with data-focused libraries (pandas, pydantic, boto3, awswrangler, requests, PySpark).
• Hands-on experience with AWS data services (Glue, Athena, Lambda, S3).
• Solid experience designing and maintaining ETL/ELT pipelines at scale.
• Strong knowledge of data modeling (Star Schema, Data Vault) and formats (Parquet, Apache Iceberg, CSV).
• Proven ability to manage large-scale datasets (tens of millions of rows, or 100GB+ daily ingestion).
• Practical experience with at least one NoSQL database (e.g., MongoDB, DynamoDB).
• Understanding of data governance, quality assurance, and security best practices.

Nice-to-Have:

• Experience with Airflow or AWS Managed Workflows.
• Familiarity with Salesforce and SOQL.
• Travel industry experience.
• Experience deploying ML models into production environments (MLOps).
• Knowledge of Apache Hudi, AWS Quicksight, or similar BI tools.
• API development experience (FastAPI, OpenAPI).
• Relevant certifications (AWS, Databricks, Snowflake).

What We Offer:

• Competitive salary, aligned with experience and market standards.
• Official employment (IT Park).
• Hybrid work model.
• Access to professional learning resources (Udemy, O’Reilly, and others).