Chief Data Architect

1 week ago

Thoothukudi, Tamil Nadu, India beBeeData Full time ₹ 20,00,000 - ₹ 25,00,000
Data Engineering Role Overview

This role involves designing and implementing scalable data systems, ensuring high-quality data management, processing, and storage. The successful candidate will have expertise in data integration tools like Apache Spark, Kafka & Airflow.

The ideal candidate should have a strong understanding of data optimization architecture, data process, and data flow, along with 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 is also essential.

In addition to technical skills, the candidate should possess excellent communication and interpersonal skills, with the ability to engage with all levels of employees and management. A proactive approach to problem-solving and delivering exceptional customer satisfaction are also highly valued.

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.
  • Monitor and troubleshoot data pipelines and workflows to ensure high availability and performance.
Essential Skills:
  • 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.
Preferred Qualifications:
  • Strong knowledge of data management, processing, Architecture and design.
  • Sound knowledge of data integration tools like Apache Spark, Kafka & Airflow.
Other Relevant Information:
  • 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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