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Senior Engineer, Customer Data Operations
2 weeks ago
Are you energized by the challenge of designing and optimizing data pipelines, integrating diverse data sources, and developing scalable data models and platforms? Reuters Data & Analytics team is looking for an experienced Senior Data Engineer to deliver world-class data engineering solutions that drive business intelligence, data science, and self-service analytics.
About the Role:
As a Senior Data Engineer, you will:
- Design, develop, optimize, and automate data pipelines for seamless extraction, transformation, and loading (ETL) of data from multiple sources into the CDP.
- Lead and drive data engineering solutions to maximize performance and resource efficiency, resolve technical impediments, and tackle complex and ambiguous problems.
- Contribute to the DevOps and QA strategy, as well as the architectural design of data platforms, pipelines, and models.
- Build and enforce automated testing and monitoring solutions to ensure data quality and reliability.
- Ensure compliance with data privacy and security regulations, applying best practices for data security including encryption, access controls, and auditing.
- Proactively troubleshoot and resolve data-related and performance bottlenecks.
- Analyze and explore large datasets with curiosity and analytical rigor.
- Remain open to learning and adopting emerging technologies in data engineering, data science, and cloud computing.
About You :
You are a strong fit for the Senior Data Engineer role if you have:
- 10+ years of experience in data engineering or analytics domains.
- Degree in data analytics, data science, computer science, software engineering, or a related discipline.
- Advanced proficiency in SQL.
- Proficiency in scripting languages such as Python.
- Experience working on Customer Data Platform (CDP) implementations is a plus.
- Strong data modeling skills, including knowledge of various schemas such as snowflake and star.
- Expertise in building ETL workflows, database design, and query optimization.
- Extensive experience with data pipeline and transformation tools such as dbt, Glue, FiveTran, Alteryx, or similar.
- Extensive experience with cloud-based data warehouse solutions such as Snowflake, Redshift, or Azure.
- Hands-on experience with orchestration tools like Airflow or Dagster.
- Understanding of data privacy, compliance regulations, and industry best practices.
- Excellent problem-solving abilities and a proactive approach to technical issues.
- Strong communication skills, works well within a team and collaborates with colleagues across domains and geographies.
