Job Title: Data Engineer I
Location: Atlanta GA (Hybrid)
Employment Type: Long Term Contract
Job Description:
We are seeking a Data Engineer I with handson experience in AWS services Python coding and data pipeline development. This entrylevel position is ideal for someone passionate about building scalable highperformance data systems and gaining deeper expertise in cloudnative data platforms. The ideal candidate will work with our analytics and engineering teams to design develop and maintain data pipelines and support realtime and batch data processing.
Key Responsibilities:
- Develop test and maintain scalable ETL/ELT pipelines using Python SQL and Apache Airflow
- Work with AWS services such as Kinesis Redshift S3 and Lambda to process and store largescale data
- Monitor and troubleshoot data pipelines ensuring data integrity and performance
- Collaborate with data analysts data scientists and other stakeholders to understand data requirements and deliver highquality data solutions
- Participate in code reviews documentation and adherence to coding best practices
- Assist in realtime data streaming and batch processing solutions using Kinesis and Redshift
- Contribute to data modeling schema design and performance tuning in Redshift and other databases
Qualifications:
- Bachelors degree in Computer Science Engineering or a related field
- Proficiency in Python programming for data processing
- Solid understanding of SQL and experience with Redshift or similar columnar databases
- Handson experience with AWS services particularly Kinesis S3 and Redshift
- Familiarity with Apache Airflow or other workflow orchestration tools