Hybrid Analytics Engineer

Posted yesterday

Apply now

About the role

  • Data Engineer creating scalable data pipelines for Capgemini's analytics solutions using modern ETL tools. Involves data storage and management using platforms like Snowflake and Redshift.

Responsibilities

  • Competent data infrastructure development with limited coaching and guidance
  • Pipeline Design and Development - Architects and builds scalable data pipelines using modern ETL (Extract, Load, Transform) tools and frameworks such as dbt (Data Build Tool), Apache Airflow, or similar
  • Automates data ingestion processes from various sources including databases, APIs, and third party services
  • Data Storage and Management - Designs and implements data warehousing solutions using platforms like Snowflake, Redshift, or BigQuery.

Requirements

  • PySpark - Intermediate (4-6 Years)
  • Python - Intermediate
  • Databricks - Intermediate (4-6 Years)
  • Snowflake - Intermediate (4-6 Years)
  • Datawarehouse/Data Engineering

Benefits

  • Competitive salary and performance-based bonuses
  • Comprehensive benefits package
  • Career development and training opportunities
  • Flexible work arrangements (remote and/or office-based)
  • Dynamic and inclusive work culture within a globally renowned group
  • Private Health Insurance
  • Pension Plan
  • Paid Time Off
  • Training & Development

Job title

Analytics Engineer

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

No Education Requirement

Location requirements

Report this job

See something inaccurate? Let us know and we'll update the listing.

Report job