Role: Data Engineer - Snowflake, Python, AWS & AI Duration: 6-12+ Months Contract Location: Jersey City, NJ (4 Days onsite) (Only local candidates will work out) Additional Info regarding SO/R: Candidates must attend an in-person interview. Mandatory Areas Data engineering Snowflake Python, AWS Position Summary We are seeking a skilled Data Engineer to design, develop, and support modern data platforms 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.
Responsibilities Design, build, and maintain scalable ETL/ELT data pipelines using Python and SQL. Develop and optimize data solutions in Snowflake, including data modeling, performance tuning, and automation. Integrate and transform data from Oracle, APIs, AWS services, and other enterprise systems. Build and manage workflow orchestration using Apache Airflow. Develop cloud-native data solutions utilizing AWS services such as S3, Glue, Lambda, and ECS/EKS. Ensure data quality, reliability, security, and governance across the data platform. 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 scalable data solutions.
Required Qualifications Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field. 5+ years of experience in Data Engineering or Data Platform development. Strong hands-on expertise in: Snowflake SQL (Advanced), Python (Advanced), AWS, Oracle Apache Airflow Experience designing and supporting enterprise-scale data pipelines and data warehouses. Strong understanding of data modeling, performance optimization, and cloud-based data architectures. Excellent analytical, problem-solving, and communication skills.
Preferred Qualifications 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. SnowPro and/or AWS certifications. Experience in financial services or capital markets environments. Key Skills: Snowflake | SQL | Python | AWS | Oracle | Airflow | ETL/ELT | Data Warehousing | Data Modeling | Snowpark | AI/GenAI | Data Governance Ideal Candidate: A hands-on engineer with deep SQL and Python expertise, capable of building scalable cloud-native data solutions while helping enable the organization's AI and analytics strategy.
For applications and inquiries, contact:hirings@openkyber.com
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