Description

You will design, build, and maintain scalable data pipelines and machine learning workflows in the cloud.

This role is on-site.

Responsibilities

• Orchestrate complex data pipelines using Informatica and Python for seamless data flow.
• Build scalable ingestion and processing pipelines leveraging GCP Dataflow and Cloud Functions.
• Implement CI/CD workflows using GitHub Actions and Argo CD to automate deployments.
• Optimize and fine-tune models for performance, accuracy, and scalability.
• Build APIs for data presentation and collaborate with stakeholders on analytical frameworks.

Required Skills

• 5+ years of experience in data or MLOps roles.
• Proficiency with relational databases: Oracle, SQL Server, MySQL, Postgres, and Snowflake.
• Experience with big data platforms: Hadoop, BigQuery, Big Lake managed Iceberg, and Parquet.
• Hands-on experience with streaming data using Kafka and GCP Dataflow/Proc.
• Ability to use compute engines like Hive, Impala, and Spark for dataset analysis.
• Experience implementing Vertex AI models to support business requirements.

Preferred Skills

• Bachelor's degree in a relevant field.

Key Skills

Education

Bachelor's degree