at Capgemini
ConsultanciesPosted 14 days ago
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**Data Integration Engineer** streamlines data flow from diverse sources to cloud-based data warehouses, primarily AWS and Snowflake. Develop and maintain ingestion solutions using Python, Bash, Kafka, Fivetran, Matillion, SSIS, and other tools. Ensure data quality, accuracy, and privacy compliances. Collaborate with cross-functional teams, providing 24/7 on-call support. Implement optimization strategies for data retrieval and processing. Requires 3–5+ years in data engineering or related fields, with expertise in SQL, Python scripting, data modeling, and AWS cloud platforms. Bachelor's degree in Computer Science, Information Systems, Engineering, or relevant field essential. Proficient in Agile methodologies and matrixed organizational structures.
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Full Job Description
| Intake Job description | key responsibilities of the role | Key skills (Key words) | Technical Skills Proficiency(Explain 3 level of proficie | Experience |
| Pipeline Development: Develop and maintain data ingestion solutions, connecting diverse source systems to cloud-based data warehouses (primarily AWS/Snowflake). Technology Utilization: Use tools such as Python, Bash, Kafka, Striim, Fivetran, Matillion, and SSIS to build scalable pipelines. Data Quality & Governance: Ensure data accuracy, consistency, and compliance with privacy policies, establishing robust data quality controls. Collaboration & Support: Work with DevOps, Product, and QA teams to optimize performance, provide 24/7 on-call support, and manage data infrastructure. System Optimization: Implement data partitioning, indexing, and compression strategies to enhance data retrieval and processing. Required Qualifications & Skills Experience: Usually 35+ years in data engineering, data warehousing, or cloud-based data solutions. Technical Skills: Expertise in SQL, data modeling (dimensional/data vault), Python scripting, and AWS cloud platforms. Tools: Experience with tools like Snowflake, Fivetran, Kafka, or Informatica is frequently required. Education: Bachelors degree in Computer Science, Information Systems, Engineering, or a related field. Methodologies: Experience with Agile methodologies and matrixed organizational structures | Key responsibilities include creating batch and real-time streaming data solutions using tools like Kafka, Fivetran, Informatica, Matillion, SSIS, and Snowflake to ensure seamless data flow across systems | Fivetran, Matillion, SSIS | 5+yoe |
Job Description
Your role
As a Data Integration Engineer at Capgemini, you will contribute to the design, development, and maintenance of scalable data integration solutions that support enterprise analytics and digital transformation initiatives. Working closely with senior engineers and cross-functional teams, you will help deliver reliable data pipelines and ensure data quality across systems.
In this intermediate-level role, you are expected to apply solid technical skills, a collaborative mindset, and a willingness to learn while taking ownership of assigned components within data projects. You will play a key role in translating business requirements into practical data solutions and continuously improving data processes.
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