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Senior Data Engineer, Python
ParserSenior Data Engineer building next-generation AI-driven data products and investment intelligence platforms. Designing and constructing data ingestion and ETL pipelines for structured and unstructured data sources.
Tech Stack
Tools & technologiesAirflowAzureCloudETLKafkaKubernetesOraclePythonSQL
About the role
Key responsibilities & impact- Build and maintain end-to-end data ingestion and ETL pipelines
- Ingest structured and unstructured data from APIs, Snowflake, Oracle, documents, and market data providers
- Develop production-quality Python services and data workflows
- Orchestrate pipelines using Kubernetes and workflow tools
- Apply clean architecture and strong engineering design patterns
- Ensure data quality, reliability, and security
- Design schemas and transformation layers for analytics and AI agents
- Prepare data for AI and RAG systems (chunking, embeddings, retrieval pipelines)
Requirements
What you’ll need- Strong Python (advanced, production-grade)
- Advanced SQL
- ETL/ELT pipeline design and orchestration (Airflow, ADF, Databricks or similar)
- Experience with RAG systems, embeddings, and vector databases
- Hands-on experience with Cloud providers (Microsoft Azure desired)
- Document parsing and unstructured data processing
- Experience with data lakehouse architectures
- API and database integrations
- Kubernetes-based workloads
- Nice to Have Experience:
- Experience with Snowflake and Oracle
- Streaming systems (Kafka, Event Hubs)
- Data Lakehouse architectures
- LLM evaluation and prompt engineering
- Experience building AI or data platforms.
Benefits
Comp & perks- The chance to join an organization with triple-digit growth that is changing the paradigm on how software products are built.
- The opportunity to form part of an amazing, multicultural community of tech experts.
- A highly competitive compensation package.
- Medical insurance.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonSQLETLELTKubernetesAPI integrationdocument parsingdata lakehouse architectureRAG systemsembeddings
Soft Skills
data qualityreliabilitysecurityengineering design patternsclean architecture