Senior Client Management Engineer responsible for designing and operating client management solutions. Leading cloud endpoint management and ensuring security compliance at TD SYNNEX.
About the role
- Data Engineer focusing on AWS for building and maintaining data pipelines. Collaborating on BI, Analytics, and AI projects in a dynamic environment.
Responsibilities
- Develop, maintain and evolve data pipelines (ETL/ELT) using Python.
- Build integrations with various data sources (REST APIs, SQL/NoSQL databases, files, messaging systems).
- Work on data modeling for analytical layers (Bronze, Silver, Gold or equivalents).
- Use AWS services for data ingestion, processing, storage and consumption.
- Ensure data quality, reliability, traceability and performance.
- Implement best practices for versioning, monitoring and error handling in pipelines.
- Support BI, Analytics and AI teams in correct data consumption.
- Participate in code reviews, technical discussions and continuous improvements of the data architecture.
- Document data flows, pipelines, business rules and data architecture.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, Information Systems or related fields.
- Solid experience as a Data Engineer (Mid or Senior level).
- Proficiency in Python, with focus on data processing and transformation.
- Practical experience with ETL/ELT and data pipelines.
- Experience with AWS (e.g., S3, EC2, RDS, Lambda, Glue, Athena, Redshift or similar).
- Knowledge of relational databases (PostgreSQL, MySQL, SQL Server or similar).
- Experience with version control (Git).
- Ability to work with large volumes of data and multiple data sources.
- Good communication, organizational skills and a collaborative mindset.
- Differentiators that can make you stand out: Experience with layered data architectures (Bronze / Silver / Gold, Data Lake, Data Warehouse).
- Experience with orchestration tools (Airflow, Prefect, Dagster or similar).
- Experience with BI and Analytics tools (Superset, Power BI, Looker, etc.).
- Knowledge of messaging and streaming (Kafka, SQS, SNS, Pub/Sub).
- Familiarity with SaaS environments, ERPs or enterprise systems.
- Experience with CI/CD for data pipelines.
- Knowledge of data quality, testing and observability.
- Experience with data for Machine Learning or AI products.
Benefits
- Positive Work Environment: We believe a healthy organizational climate is essential for everyone’s well-being. Here you will find colleagues and managers ready to support your development.
- Growth Opportunities: We invest in our employees’ professional growth through training and internal promotions.
- Attractive Benefits: In addition to a competitive salary, we offer benefits that ensure quality of life, such as healthcare and wellness programs.
Job title
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Tech skills
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