Data Engineer (Senior / Lead / Principal)

We build complex, mission- critical data platforms that power enterprise analytics, AI, and real- time operational systems. We are hiring Data Engineers across multiple seniority levels to design, build, and scale enterprise- grade data platforms. You will work on complex, high- volume, and highly regulated environments, building modern Data Lake, Data Warehouse, and Lakehouse architectures that enable advanced analytics and AI applications. Depending on experience, you may contribute as a hands- on Senior Engineer, lead architecture design as a Lead/Principal, or drive data platform strategy at a higher level.
Responsibilities:
Data Platform Development
• Ensure high data quality, consistency, and availability
• Develop data models (Star Schema, Snowflake, Data Vault where applicable)
• Build and optimize enterprise Data Lake and Data Warehouse systems
• Design and develop scalable ETL/ELT pipelines (batch & real- time)
Architecture & System Design (Lead/Principal level)
• Design enterprise Data Lakehouse architecture
• Define data integration patterns across banking and aviation systems
• Design scalable streaming systems (Kafka, Spark Streaming, etc.)
• Establish standards for data governance, lineage, metadata management
Performance & Optimization
• Optimize data storage, processing, and query performance
• Ensure compliance with security and regulatory standards (financial data, PII) Cross- Functional Collaboration
• Implement monitoring, logging, and observability for data pipelines
• Work closely with:
AI / Data Science teams
BI and Analytics teams o Core Banking / Financial Systems teams
• Support AI- ready data infrastructure
• Translate business requirements into scalable data solutions

Senior Data Engineer (4–6+ years)
• Experience with Spark, Airflow, Kafka or equivalent tools
• Experience with at least one major cloud platform (AWS / GCP / Azure)
• Proficient in SQL and Python / Scala
• Experience with Data Lake & Data Warehouse systems
• Strong hands- on experience building ETL/ELT pipelines
Lead Data Engineer (6–10+ years)
• Experience in complex domains (Core Banking, Payments, Aviation Ops)
• Deep knowledge of distributed systems and data modeling
• Experience leading technical initiatives or mentoring engineers
• Proven experience designing large- scale data architecture
Principal / Head- level Data Engineer (10+ years)
• Experience leading large transformation programs
• Strong knowledge of data governance, compliance, and security
• Ability to align data strategy with business objectives
• Experience designing enterprise- wide Data Lakehouse platforms
Technical Stack
• Orchestration: Airflow
• Storage: S3 / ADLS / GCS
• Languages: Python, Scala, SQL
• Big Data: Spark, Kafka, Flink
• DevOps & CI/CD practices
• Data Platforms: Snowflake, BigQuery, Redshift, Databricks
• Cloud: AWS / GCP / Azure
Education & Certifications (Highly Preferred)
• MBA (Technology / Strategy) is an advantage for senior levels
• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or related fields
• International certifications such as:
Google Professional Data Engineer
Microsoft Azure Data Engineer Associate
CDMP (Certified Data Management Professional)
AWS Certified Data Engineer / Data Analytics Specialty
Databricks Certified Data Engineer
TOGAF (for architecture- level candidates)
Core Competencies
• Strong analytical and system- thinking mindset
• Experience working with high- volume, mission- critical systems
• Enterprise mindset: scalability, reliability, governance
• Strong collaboration and communication skills
• Understanding of financial and aviation data complexity

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Cập nhật gần nhất lúc: 2026-03-16 06:30:04