Senior Data Engineer - Remote AI/Data Pipelines

CAMP Systems Private Limited

Polska

Hybrid

PLN 473,000 - 709,000

Full time

14 days+

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Job summary

CAMP Systems Private Limited is seeking a Senior Data Engineer to design and maintain scalable data pipelines for a SaaS environment. The role focuses on ETL/ELT development, data modeling in Snowflake/Redshift, and governance across datasets.

Ideal candidates have 8–10 years of experience, strong Oracle and cloud skills, and are comfortable working in a fully remote, international setting with AI/ML considerations and DevOps practices.

Qualifications

  • 8–10 years of experience building ETL/ELT data pipelines.
  • Strong experience with Oracle and data modeling.
  • Proficiency in Python, SQL or Scala.
  • 3+ years on data warehouse platforms such as Snowflake and Redshift.
  • Familiarity with AWS/Azure and DevOps practices.
  • Bachelor’s degree in CS/Engineering or equivalent.

Responsibilities

  • Design, develop, and maintain high-performance ETL/ELT pipelines.
  • Create and optimize data models and schemas in Snowflake and Redshift.
  • Ensure data quality, governance, and security across pipelines.
  • Collaborate with cross-functional teams to meet business needs.
  • Stay current with trends in data engineering and AI applications.

Skills

ETL/ELT pipelines
Python
SQL
Scala
Snowflake/Redshift
Oracle
Cloud (AWS/Azure)
Git/JIRA/Confluence
SaaS delivery
AI/ML familiarity
Docker
DevOps/CI-CD
Data governance

Education

Bachelor’s degree in CS/Engineering

Tools

Informatica
Pentaho Data Integration
Snowflake
Redshift
Oracle

Job description

CAMP Systems Private Limited is seeking a Senior Data Engineer to design and maintain scalable data pipelines for a SaaS environment. The role focuses on ETL/ELT development, data modeling in Snowflake/Redshift, and governance across datasets.

Ideal candidates have 8–10 years of experience, strong Oracle and cloud skills, and are comfortable working in a fully remote, international setting with AI/ML considerations and DevOps practices.

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