AI Python Engineer

About the Role:
We are looking for an experienced AI Python Engineer to design, develop, and maintain end-to-end data and analytics workflows. This role involves building robust data pipelines, ETL/ELT processes, and vectorization workflows to support advanced search and retrieval capabilities in AI-driven systems. You will work closely with data and platform teams to automate deployments, enhance monitoring, ensure reliability, and optimize performance across data environments.

Key Responsibilities:

• Develop and maintain scalable data pipelines, ETL/ELT processes, and analytics engineering workflows.
• Build vectorization workflows to support advanced search, retrieval, and AI-driven features.
• Collaborate with data teams to capture requirements, automate deployment, and improve monitoring processes.
• Optimize data storage systems, troubleshoot issues, and ensure high performance.
• Implement strong unit and integration testing practices to ensure quality and reliability.
• Participate in Agile workflows and contribute within a DevOps-oriented environment.

Must-Have Skills:

• At least 8 years of experience in software or data engineering.
• Strong proficiency in Python.
• Solid experience in unit and integration testing.
• Familiarity with DevOps practices and Agile methodologies.

Good-to-Have Skills:

• Experience with AWS and Kubernetes (K8s).
• Familiarity with data platforms such as Snowflake, Databricks, Apache Spark, Apache Hive, Delta Lake, Apache Iceberg, and vector databases.
• Experience with orchestration tools like Apache Airflow, Dagster, Prefect, or Temporal.
• Familiarity with GitHub workflows and Datadog.

Why Join Us

• Regional project exposure
• Work on high-value data centre tenders
• Opportunity to influence winning strategies

Company information

Registration No.

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