Data Engineer with AI Kubernetes

Data Engineer with AI Kubernetes Location: Columbus, OH (Onsite 5 days) Locals Only Interview - F2F We are hiring a Data Engineer with strong expertise in Python, PySpark, and AWS to build and manage scalable data pipelines. The role involves working with large-scale distributed data systems and supporting modern data platforms. Key Requirements: Strong experience in Python and Apache Spark (PySpark) Hands-on with AWS services (S3, Glue, EMR, Redshift, Lambda, Athena) Proficiency in SQL and

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

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

Job Title: Data Engineer with AI Kubernetes Location:Columbus, OH 5 days Onsite Role 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,