Data Engineer with AI Kubernetes

Data Engineer with AI Kubernetes Location Columbus, OH - Day 1 Onsite - 5 days! Contract-6 Monts Required Skills & Qualifications: Strong proficiency in Python for data processing and pipeline development Hands-on experience with Apache Spark (PySpark preferred) Solid experience with AWS services such as S3, Glue, EMR, Redshift, Athena, Lambda Experience with SQL and relational/non-relational databases Knowledge of data modeling, data warehousing concepts, and ETL frameworks Experience work

Job Title: Data Engineer with AI Kubernetes (2) Location: Columbus, OH - 5 days Onsite Role Duration: 12 Months Contracts This is contract to hire role so need visa independent candidate (/ -EAD/ L2only) Required Skills & Qualifications: Strong proficiency in Python for data processing and pipeline development Hands-on experience with Apache Spark (PySpark preferred) Solid experience with AWS services such as S3, Glue, EMR, Redshift, Athena, Lambda Experience with SQL and relational/non-relat

Title - Data Engineer with AI Kubernetes Location Columbus, OH Required Skills & Qualifications: Strong proficiency in Python for data processing and pipeline development Hands-on experience with Apache Spark (PySpark preferred) Solid experience with AWS services such as S3, Glue, EMR, Redshift, Athena, Lambda Experience with SQL and relational/non-relational databases Knowledge of data modeling, data warehousing concepts, and ETL frameworks Experience working with large-scale, distribut

Required Skills & Qualifications: Strong proficiency in Python for data processing and pipeline developmentHands-on experience with Apache Spark (PySpark preferred)Solid experience with AWS services such as S3, Glue, EMR, Redshift, Athena, LambdaExperience with SQL and relational/non-relational databasesKnowledge of data modeling, data warehousing concepts, and ETL frameworksExperience working with large-scale, distributed data systemsFamiliarity with CI/CD pipelines and version control tools (G