Data Engineer -- Long Term Contract -- Delaware or New Jersey (Hybrid Job)
Apply NowCompany: Lorven Technologies Inc
Location: Princeton, NJ 08540
Description:
Job Title: Data Engineer
Location: Delaware or New Jersey (Hybrid Job)
Duration: Long Term Contract
Job description
We are seeking a highly skilled Data Engineer with a strong background in AWS technologies to join our fast-paced and collaborative data team. In this role, you will be responsible for designing, developing, and maintaining scalable data pipelines and architectures that enable data-driven decision-making across the organization. You will work closely with data scientists, analysts, and business stakeholders to ensure that high-performance data systems are optimized to support critical business processes.
Required Skills:
Bonus Skills:
Location: Delaware or New Jersey (Hybrid Job)
Duration: Long Term Contract
Job description
We are seeking a highly skilled Data Engineer with a strong background in AWS technologies to join our fast-paced and collaborative data team. In this role, you will be responsible for designing, developing, and maintaining scalable data pipelines and architectures that enable data-driven decision-making across the organization. You will work closely with data scientists, analysts, and business stakeholders to ensure that high-performance data systems are optimized to support critical business processes.
Required Skills:
- Proven experience (5-6 years) as a Data Engineer, with a focus on AWS platforms.
- Proficiency in AWS services, including AWS Glue, Amazon Redshift, Amazon S3, and Amazon Kinesis.
- Strong programming skills in languages such as Python, SQL, or Java.
- 2-3 years of experience with data modeling, ETL processes, and data warehousing concepts, especially Snowflake.
- Familiarity with cloud computing concepts and data security best practices.
- Excellent analytical and problem-solving skills with a collaborative mindset.
Bonus Skills:
- Experience with big data technologies like Apache Spark or Apache Kafka.
- Knowledge of data visualization tools (e.g., Tableau, Power BI).
- Understanding of DevOps practices and CI/CD pipelines.