Hiring for Data Engineer @ Jersey City, NJ (Onsite)

[Oncorre Technologies PVT LTD]

Job Title: Data Engineer

Location: Jersey City, NJ
Mode of Work: Onsite

 

Key Skills:

Snowflake (including Snowflake AI / Cortex), SQL, AWS (Glue), PySpark, Big Data Concepts, Data Warehousing, Machine Learning Integration

 

Responsibilities:

• Lead the design, development, and implementation of scalable data solutions using AWS and Snowflake, including Snowflake AI capabilities.
• Leverage Snowflake AI (Cortex) features to build intelligent data applications, including NLP-based querying, data summarization, and predictive analytics.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical and AI-driven data solutions.
• Develop and maintain robust data pipelines, ensuring data quality, integrity, security, and governance.
• Optimize data storage, transformation, and retrieval processes to support advanced analytics and AI workloads.
• Integrate AI/ML models within Snowflake for real-time and batch data processing use cases.
• Provide technical leadership and mentorship to junior data engineers.
• Work closely with stakeholders to gather requirements and deliver actionable, data-driven insights.
• Ensure compliance with industry standards and best practices in data engineering, AI governance, and cloud architecture.

 Must Have:

• 8+ years of relevant experience in Data Engineering and delivery.
• 8+ years of experience in Big Data Concepts and cloud implementations.
• Strong experience with SQL, Python, and PySpark.
• Hands-on experience with Snowflake, including Snowflake AI / Cortex capabilities.
• Strong knowledge of data ingestion, transformation, and processing frameworks.
• Experience with AWS services (Glue, EMR, S3, Aurora, RDS, and overall AWS architecture).
• Experience integrating AI/ML solutions within data platforms.
• Strong problem-solving, analytical skills, and ownership mindset.
• Ability to code, debug, perform performance tuning, and deploy applications to production environments.
• Experience working in Agile methodologies.

Good to Have:

• Experience with DevOps tools (Jenkins, Git, etc.) and CI/CD pipelines.
• Exposure to data migration, Data Vault 2.0, and modern data architecture patterns.
• Experience with AI/ML frameworks and tools integrated with Snowflake (e.g., model deployment, feature engineering).

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
• Proven experience as a Data Engineer with strong expertise in AWS and Snowflake.
• Hands-on experience with Snowflake AI capabilities (Cortex, Snowpark ML, or similar).
• Strong understanding of data warehousing concepts and modern AI-driven data platforms.
• Excellent communication skills to explain complex technical and AI concepts to non-technical stakeholders.
• Experience in the insurance domain, preferably with claims and loss processes.
• Proficiency in SQL, Python, and related programming languages.
• Strong problem-solving skills and attention to detail.
• Ability to work independently and in a fast-paced team environment.

Preferred Qualifications:

• Experience with data modeling, ETL/ELT processes, and AI-enhanced pipelines.
• Familiarity with data governance, security, and AI ethics practices.
• AWS or Snowflake certifications (including AI-related certifications) are a plus.

Mandatory Skills:

• 2+ years of experience with AWS
• 5+ years of experience with Snowflake (including exposure to Snowflake AI features)
• 2+ years of Insurance domain experience
• 7+ years of experience with PL/SQL