Data Engineer

Role: Data Engineer
Location: Jersey City, NJ (Hybrid)
Duration: 12+ Months

In-person interview needed

Must have: Snowflake | SQL | Python | AWS | Oracle | Airflow | ETL/ELT |
Data Warehousing | Data Modeling | Snowpark | AI/GenAI | Data Governance

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.

Requirements:
•       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:
o       Snowflake
o       SQL (Advanced)
o       Python (Advanced)
o       AWS
o       Oracle
o       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.