Senior Data Engineer

Job Title: Senior Data Engineer - Iselin NJ

Location Iselin NJ (3 days onsite hybrid)

Duration: Long term

In-person Interview required.

Experience required 14 Years with Mandate Skills Databricks Snowflake Python Pyspark SQL and Banking

Overview:

We are seeking a skilled Data Engineer with expertise in Databricks Snowflake Python Pyspark SQL and Release Management to join our dynamic team. The ideal candidate will have a strong background in the banking domain and will be responsible for designing developing and maintaining robust data pipelines and systems to support our banking operations and analytics.

Key Responsibilities:

• Design develop and maintain scalable and efficient data pipelines using Snowflake Pyspark and SQL.
• Write optimized and complex SQL queries to extract transform and load data.
• Develop and implement data models schemas and architecture that support banking domain requirements.
• Collaborate with data analysts data scientists and business stakeholders to gather data requirements.
• Automate data workflows and ensure data quality accuracy and integrity.
• Manage and coordinate release processes for data pipelines and analytics solutions.
• Monitor troubleshoot and optimize the performance of data systems.
• Ensure compliance with data governance security and privacy standards within the banking domain.
• Maintain documentation of data architecture pipelines and processes.
• Stay updated with the latest industry trends and incorporate best practices.

Required Skills and Experience:

• Proven experience as a Data Engineer or in a similar role with a focus on Snowflake Python Pyspark and SQL.
• Strong understanding of data warehousing concepts and cloud data platforms especially Snowflake.
• Hands-on experience with release management deployment and version control practices.
• Solid understanding of banking and financial services industry data and compliance requirements.
• Proficiency in Python scripting and Pyspark for data processing and automation.
• Experience with ETL/ELT processes and tools.
• Knowledge of data governance security and privacy standards.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities.

Preferred Qualifications:

• Good Knowledge in Azure and Databricks in highly preferred.
• Knowledge of Apache Kafka or other streaming technologies.
• Familiarity with DevOps practices and CI/CD pipelines.
• Prior experience working in the banking or financial services industry.