We are actively hiring for Data Engineer

Location: Union Beach, NJ OR Wilmington, DE (Hybrid)

Design and implement robust data pipelines using AWS services such as AWS Glue, Amazon Redshift, Amazon S3, and Amazon Kinesis.
Collaborate with data scientists, analysts, and business stakeholders to gather requirements and understand data needs.
Optimize and maintain existing data systems to ensure high performance, reliability, and scalability.
Monitor data quality and implement data validation and cleansing processes.
Create and maintain documentation for data architectures, workflows, and processes.
Stay updated on AWS technologies and industry best practices to drive continuous improvement in data engineering.

Qualifications:

Bachelor's degree in Computer Science, Information Technology, or a related field.
5-6 years of Proven experience as a Data Engineer, particularly with AWS platforms.
Proficiency in AWS services, including AWS Glue, Amazon Redshift, and Amazon S3.
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 and data security best practices.
Excellent analytical and problem-solving skills with the ability to work effectively in a team environment.

Nice to have

Experience with big data technologies like Apache Spark or Apache Kafka.
Knowledge of data visualization tools (e.g., Tableau, Power BI) is a plus.
Understanding of DevOps practices and CI/CD pipelines. (edited)