Job Title: Data Engineer - I Location: Atlanta, GA (Hybrid) Employment Type: Long - Term Contract Job Description: We are seeking a Data Engineer I with hands-on experience in AWS services, Python coding, and data pipeline development. This entry-level position is ideal for someone passionate about building scalable, high-performance data systems and gaining deeper expertise in cloud-native data platforms. The ideal candidate will work with our analytics and engineering teams to design, develop, and maintain data pipelines and support real-time 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 large-scale 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 high-quality data solutions Participate in code reviews, documentation, and adherence to coding best practices Assist in real-time 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: Bachelor's 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 Hands-on experience with AWS services, particularly Kinesis, S3, and Redshift Familiarity with Apache Airflow or other workflow orchestration tools Parkar Digital
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