
Data Systems Designer
5 days ago
Data Scientist Engineer
">About the Role:We are looking for a proactive Data Scientist Engineer to design, build and maintain data systems. The ideal candidate will collaborate with cross-functional teams to ensure highest standards of data quality and performance.
- The successful candidate will have expertise in data engineering, data architecture, pipeline creation and big data technologies.
The Data Scientist Engineer will be responsible for designing, developing and maintaining 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).
The ideal candidate should have the following skills and qualifications:
- 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).
This role offers the flexibility of working remotely in India.
Others:The ideal candidate should have a bachelor's degree in computer science, Information Technology, or a related field and minimum 4 years of experience in data engineering & architecture.
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