
Chief Data Architect
7 days ago
As a Data Engineer, you will be responsible for designing, building and maintaining data systems.
The role requires cross-functional collaborations to ensure the highest standards of data quality and performance by extending your expertise in data engineering, data architecture, pipeline creation and big data technologies.
- Understand the values and vision of the organization.
- 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.
- Evaluate and improve 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.
- 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).
- Excellent communication and interpersonal skills, with the ability to engage with all levels of employees and management.
- Flexible remote working arrangement available in India.
- Opportunity to work on cutting-edge data engineering projects.
- 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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