What are the responsibilities and job description for the Senior Data Engineer position at Accord Technologies Inc?
Title: Senior Data Engineer
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
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.
- 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.
- 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.