Data Engineer
Listed on 2026-10-17
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Software Development
Data Engineering, Python, AWS, AI Engineer (Applied/Software)
Data Engineer
- Snowflake, Python, AWS & AI
Data engineering
Snowflake
Python, AWS
SummaryWe are seeking a skilled
DataEngineerto design, develop, and support moderndataplatforms and pipelines that power analytics, reporting, and AI-driven solutions.
The ideal candidate will have strong expertise in Snowflake, Python, SQL, AWS, Oracle, and Apache Airflow, with exposure to AI/Generative AI technologies.
ResponsibilitiesDesign, build, and maintain scalable ETL/ELTdatapipelines using Python and SQL. Develop and optimizedatasolutions in Snowflake, includingdatamodeling, performance tuning, and automation. Integrate and transformdatafrom Oracle, APIs, AWS services, and other enterprise systems.
Build and manage workflow orchestration using Apache Airflow.
Develop cloud-nativedatasolutions utilizing AWS services such as S3, Glue, Lambda, and ECS/EKS.
Ensuredataquality, reliability, security, and governance across thedataplatform.
Support AI and analytics initiatives by preparing datasets and building pipelines for ML and Generative AI use cases. Collaborate closely with architects, analysts,data scientists, and business stakeholders to deliver scalabledatasolutions.
Bachelor's degree in Computer Science,Engineering, Information Systems, or a related field.
5+ years of experience inDataEngineering orDataPlatform development.
Strong hands-on expertise in:
Snowflake SQL (Advanced) Python (Advanced) AWS Oracle Apache AirflowExperience designing and supporting enterprise-scaledatapipelines anddatawarehouses.
Strong understanding ofdatamodeling, performance optimization, and cloud-baseddataarchitectures.
Excellent analytical, problem-solving, and communication skills.
Experience with Snowpark, Streams, Tasks, and Dynamic Tables.
Exposure to AI/ML, Generative AI, RAG architectures, or vector databases.
Experience with Spark, Kafka, or Databricks. Snow Pro and/or AWS certifications. Experience in financial services or capital markets environments.
Snowflake | SQL | Python | AWS | Oracle | Airflow | ETL/ELT |Data Warehousing |Data Modeling | Snowpark | AI/GenAI |Data Governance
Ideal Candidate: A hands-onengineerwith deep SQL and Python expertise, capable of building scalable cloud-nativedatasolutions while helping enable the organization's AI and analytics strategy
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