Senior Data Engineer
6 dni temu
Position Purpose
Working with a modern analytics stack, including Google Cloud, BigQuery, Informatica, and Python, the Senior Data Engineer will build data pipelines and transform, structure, and operationalize data to support BI, Analytics, and Data Science projects.
Responsibilities
- Contribute to the development and design of the data platform, including the design and execution of data extraction, transformation, and optimal data pipeline architectures and solutions at an enterprise scale to enable business intelligence, analytics, and data science use cases.
- Design and implement processes around data loading, data transformation, and feature engineering as well as access control, data security, and data privacy.
- Develop complex code-based ETL/ELT data pipelines with performance-optimized data modeling.
- Develop a source of truth data models to power business analytics solutions using data warehouse modeling techniques, data quality checks, reconciliation processes, and thorough testing practices.
- Establish and implement best practices in coding, monitoring, and alerting, using CI/CD and other relevant techniques.
- Ensure code is managed, validated, and released using best practices (DevOps) making effective use of automation for these processes.
- Maintain a repeatable and automated approach to data management including a continuous deployment pipeline, centralized configuration management, automated testing patterns, provisioning of environments, and controlled release to production.
- Ensure all features and new releases are tested, upgraded, and changed as necessary from a data perspective.
Requirements
- At least 4+ years of experience in a similar role.
- Proficiency in designing efficient and robust ETL/ELT workflows, data modeling, and data pipelines – batch and/or event-driven.
- Experience working in a complex enterprise data warehouse environment, developing and maintaining pipeline processes to move and transform data.
- Experience with data warehousing principles including orchestration framework, schema structure, and data architecture principles.
- Experience with Google Cloud Platform (GCP) or similar cloud provider (3 years+).
- Experience with Informatica ETL and Governance or other UI-based ETL tools (Talend, DataStage, ODI, Matillion, OBIEE).
- Participation in the full software project lifecycle - from requirements gathering to production rollout, using the Agile framework.
- Experience implementing and managing CI/CD process.
- Ability to write robust code in SQL and Python.
- Experience with Unix script writing.
- Interaction with stakeholders, talking to business.
Mid-Senior level
Employment typeFull-time
Job functionEngineering and Information Technology
IndustriesSoftware Development and Retail
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