
Chief Data Pipeline Architect
2 days ago
As a data engineer, you will be responsible for designing and building scalable data pipelines to ingest, process, and store data.
The ideal candidate will have expertise in data integration, processing, and storage, as well as knowledge of data optimization architecture, data processes, and data flow.
You will work closely with cross-functional teams to ensure high standards of data quality and performance.
Key Responsibilities- Design, develop, and maintain scalable data pipelines for data ingestion, processing, and storage.
- Build and optimize data architectures and data models for efficient data storage and retrieval.
- Develop ETL processes to transform and load data from various sources into data warehouses and data lakes.
- Ensure data integrity, quality, and security across all data systems.
- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs.
- Expertise in data integration, processing & Storage.
- Expertise in Data optimization architecture, data process and data flow.
- Knowledge of Data integration tools like Apache Spark, Kafka & Airflow.
- Proficiency in SQL and at least one programming language (e.g., Python, Scala).
- Experience with cloud data platforms (e.g., AWS, Azure, GCP) and their data services.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Strong knowledge of data management, processing, Architecture and design.
- Sound knowledge of data integration tools like Apache Spark, Kafka & Airflow.
- Ability to work independently and as part of a team.
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