Data Engineer with AI Kubernetes

Job Title: Data Engineer with AI Kubernetes (2)

Location: Columbus, OH – 5 days Onsite Role

Additional Job Details:

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, distributed data systems
• Familiarity with CI/CD pipelines and version control tools (Git)
• Strong problem-solving and communication skills

Preferred / Nice to Have:

• Experience with Airflow or other workflow orchestration tools
• Knowledge of Kafka, Kinesis, or streaming data platforms
• Experience with Docker/Kubernetes
• Exposure to Delta Lake, Iceberg, or HuD.

Tanisha Systems, founded in 2002 in Massachusetts-*, is a leading provider of Custom Application Development and end-to-end IT Services to clients globally. We use a client-centric engagement model that combines local on-site and off-site resources with the cost, global expertise and quality advantages of off-shore operations. We deliver Custom Application Development, Application Modernization, Business Process Outsourcing and Professional IT Services from office locations in * and *.

Tanisha Systems services clients in Government, Banking & Financial Markets, Insurance, Healthcare, Retail & Consumer Goods, Energy & Utilities, Life Sciences, Telecom, Manufacturing and Transportation Industries around the globe. Our engagement model provides a flexible operational environment that empowers our clients with the right levels of control.

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