Senior Data Engineer
Job Location:
Job Location:
Iselin, NJ - USA
Monthly Salary:
Not Disclosed
Monthly Salary:
Posted on:
22 days ago
Posted on:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Title: Senior Data Engineer
Location: Iselin NJ (Need Onsite day 1 Hybrid 3 days from office)
Duration: 12 months.
Location: Iselin NJ (Need Onsite day 1 Hybrid 3 days from office)
Duration: 12 months.
Position type; W2 contract
Job Description:
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.
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.
Requirements:
- 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.
