Associate Data Engineer

Capgemini is hiring an Associate Data Engineer to develop and maintain data integration solutions that support reliable, scalable, and secure data movement across enterprise platforms. The role builds ETL/ELT processes and pipelines, validates data quality, and supports cloud modernization in collaboration with Agile delivery teams.

Responsibilities

Develop and maintain ETL/ELT jobs, workflows, and data pipelines

Perform data extraction, transformation, and loading from multiple source systems

Create and execute unit tests, integration tests, and data validation scripts

Support User Acceptance Testing (UAT) and assist in issue resolution

Monitor data pipelines and troubleshoot data processing issues

Perform data cleansing, profiling, and validation activities

Develop SQL queries, stored procedures, and scripts to support reporting and analytics

Assist in implementing data quality controls and governance standards

Support cloud migration and modernization initiatives

Collaborate with solution architects, business analysts, and senior data engineers in Agile delivery teams

Preferred

Snowflake, Azure Synapse, Databricks, BigQuery, Redshift, or similar platforms

Cloud platforms such as Azure, AWS, or GCP

Airflow, Data Factory, Informatica, Talend, SSIS, or equivalent data integration tools

Exposure to Spark, Hadoop, or Kafka

Knowledge of DevOps and DataOps practices

Snowflake

Azure Synapse

Databricks

BigQuery

Redshift

Cloud data platforms

Azure

AWS

GCP

Airflow

Azure Data Factory

Informatica

Talend

SSIS

Data integration tools

Spark

Hadoop

Kafka

DevOps

DataOps

Benefits

For regular, full-time employees; benefits are determined by local policy and eligibility and may include: Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave

For regular, full-time employees in the U.S. and Canada, as determined by local policy and eligibility: Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)

For regular, full-time employees in the U.S. and Canada, as determined by local policy and eligibility: Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)

For regular, full-time employees in the U.S. and Canada, as determined by local policy and eligibility: Life and disability insurance

For regular, full-time employees in the U.S. and Canada, as determined by local policy and eligibility: Employee assistance programs

Company

Consulting, technology services, and digital transformation.

Paris, Ile-de-France, FRA

https://www.capgemini.com/

Founded in 1967

10001+ employees

Qualifications

2 years of experience in data engineering, software development, analytics, or related technical roles

SQL development and query optimization

Basic Python programming and scripting

Understanding of relational databases

Familiarity with ETL/ELT concepts

Basic understanding of data warehousing concepts

Knowledge of data quality and validation techniques

Understanding of Agile development methodologies

Bachelor's degree in Computer Science, Information Technology, Engineering, Mathematics, or a related discipline

Snowflake, Azure Synapse, Databricks, BigQuery, Redshift, or similar platforms

Cloud platforms such as Azure, AWS, or GCP

Airflow, Data Factory, Informatica, Talend, SSIS, or equivalent data integration tools

Exposure to Spark, Hadoop, or Kafka

Knowledge of DevOps and DataOps practices

2 years of experience in data engineering, software development, analytics, or related technical roles.

Required skills

SQL, Python, Relational Databases, ETL/ELT, Data Warehousing, Data Quality and Validation, Agile Development, Snowflake, Azure Synapse, Databricks, Airflow, Apache Spark

Preferred skills

Cloud platforms such as Azure, AWS, or GCP, Exposure to Spark, Hadoop, or Kafka, Knowledge of DevOps and DataOps practices

Experience

2+ years