
Data System Architect
6 days ago
Data Engineers play a vital role in designing, building, and maintaining data systems.
The position requires cross-functional collaboration to ensure the highest standards of data quality and performance by leveraging expertise in data engineering, architecture, pipeline creation, and big data technologies.
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)
Technical Skills:
- Expertise on data integration, processing, and 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)
Priorities and Values:
- Excellent communication and interpersonal skills, with the ability to engage with all levels of employees and management
- Collaborative approach to effectively present and advocate for quick design solutions
- Proactive thinking and problem-solving skills
- Strong analytical and problem-solving skills
- Ability to work independently and as part of a team
This role offers flexibility and includes the option to work remotely in India. Additional benefits include opportunities for professional growth, recognition, and reward for outstanding performance.
Others:To apply, please submit your resume and cover letter outlining your relevant experience and qualifications. We welcome applications from candidates with a Bachelor's degree in computer science, Information Technology, or a related field. A minimum of 4 years of experience in data engineering & architecture is preferred.
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