Senior Data Engineer – PIM
Summary
Build and maintain data pipelines for product information systems, integrating and governing data for e-commerce platforms using cloud tools like Azure and AWS.
Overview
Designing, developing, and maintaining robust data pipelines and integration solutions focused on Product Information Management (PIM) systems. Collaborating with cross-functional teams to gather requirements. Implementing scalable data solutions. Ensuring data integrity and governance. Leveraging cloud technologies to support PIM data management.
Responsibilities
- Design, develop, and maintain data pipelines and integration solutions for PIM systems.
- Collaborate with cross-functional teams to gather requirements.
- Implement scalable data solutions that support business needs.
- Ensure data integrity, quality, and governance across data products.
- Leverage cloud technologies to manage PIM data effectively.
Qualifications
- Extensive experience as a Data Engineer with a focus on Product Information Management (PIM) systems.
- Proficiency in building and managing data pipelines using technologies such as Apache Spark, Databricks, and Snowflake.
- Strong knowledge of data modeling, data integration, and ETL/ELT best practices.
- Experience with cloud platforms, particularly Azure and AWS.
- Familiarity with orchestration tools like Airflow, Prefect, or Dagster.
- Hands-on experience with data governance, data quality tools, and security practices.
- Comfortable working in agile environments and collaborating with stakeholders.
- Excellent problem-solving skills and pragmatic approach to delivering solutions.
- Proficient in SQL, Bash scripting, and version control systems such as Git.
- Strong communication skills in English.
- Preferred Skills:
- Experience with CI/CD pipelines, GitOps, and DevOps practices.
- Knowledge of data streaming technologies like Apache Kafka.
- Familiarity with PIM platforms and product data lifecycle management.