
Website Cotiviti
Data Engineer at Cotiviti, Remote (Global)
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We are seeking a Data Engineer to join our data engineering team, focusing on data processing and analytics solutions using big modern data technologies.Â
Responsibilities
- Develop and maintain data processing pipelines using Python, Spark, and Hadoop ecosystems.Â
- Build ETL workflows on AWS EMR clusters for processing large datasets. Â
- Assist in optimizing Spark applications for performance and reliability.Â
- Support data visualization and exploration using Hue and other analytics platforms.Â
- Work with data scientists and analysts on machine learning pipeline implementation. Â
- Monitor distributed computing environments and assist with troubleshooting.Â
Qualifications
- 3+ years of software development experience. Â
- Proficiency in programming languages like Python & SQL. Â
- Knowledge of database modeling and familiarity with ETL tools. Â
- Experience with big data technologies and cloud platforms (AWS). Â
- Working knowledge of Apache Spark (PySpark, Spark SQL) and Hadoop ecosystem.Â
- Experience with AWS EMR cluster operations. Â
- Familiarity with data exploration and workflow management tools. Â
- Understanding of distributed systems concepts.Â
- Exposure to real-time data streaming (Kafka, Kinesis). Â
- Basic understanding of data governance & security. Â
- Familiarity with machine learning concepts. Â
- AWS certifications or willingness to obtain.Â
- Experience with AWS services (S3, Glue, Redshift, Athena).Â
- Basic knowledge of containerization (Docker, Kubernetes). Â
- Understanding of CI/CD pipelines.Â
To apply for this job please visit globalcareers-cotiviti.icims.com.
Data Engineer at Cotiviti, Remote (Global)
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