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.
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