
Chief Data Architect
1 week ago
Data Engineers design, build and maintain data systems.
The role requires cross-functional collaborations and ensures highest standards of data quality and performance by extending expertise in data engineering, data architecture, pipeline creation and big data technologies.
Key Responsibilities:- Understand the organization's values and vision
- Protect Intellectual Property
- Adhere to all policies and procedures
- 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
- Monitor and troubleshoot data pipelines and workflows to ensure high availability and performance
- Document data processes, architectures and data flow diagrams
- Implement and maintain data integration solutions using industry-standard tools and technologies (e.g. Apache Spark, Kafka, Airflow)
- Expertise on Data Integration, processing & Storage
- Expertise on 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)
- Flexible working arrangements
- Opportunities for professional growth and development
- Bachelor's degree in computer science, Information Technology or a related field
- Minimum 4 years of experience in data engineering & architecture
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