Chief Data Architect

1 day ago

Vellore, Tamil Nadu, India beBeeData Full time ₹ 1,80,00,000 - ₹ 2,30,00,000

We are seeking a Senior Data Engineer to join our team of experts in designing, developing, and maintaining large-scale data processing systems.

The ideal candidate will have 5+ years of experience in data engineering or related fields, with a focus on big data technologies and cloud platforms.

In this role, you will be responsible for architecting and implementing data pipelines that collect, process, and store large volumes of structured and unstructured data. You will also work closely with data scientists and analysts to ensure the availability, reliability, and efficiency of our Databricks solution.

Key Responsibilities:
  • Design and Develop Scalable Data Pipelines: Design, develop, and maintain scalable and robust data pipelines that collect, process, and store large volumes of structured and unstructured data.
  • Implement Data Warehouses and Storage Solutions: Architect and implement data warehouses, data lakes, and other storage solutions that support analytics and reporting needs.
  • Optimize Data Architectures and Workflows: Optimize data architectures and workflows for performance, scalability, and cost-efficiency.
  • Collaborate with Data Scientists and Analysts: Collaborate with data scientists and analysts to understand data requirements and ensure that data systems meet their needs.

You will also be responsible for ensuring data quality, integrity, and security by implementing best practices in data governance and management. Additionally, you will develop and maintain documentation for data systems, including data models, flow diagrams, and operational procedures.

Qualifications:
  • Bachelor's or Master's Degree: A Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related field.
  • Experience in Data Engineering: 5+ years of experience in data engineering or related fields, with a focus on big data technologies and cloud platforms.
  • Skills and Knowledge: Proficiency in SQL and experience with databases such as MySQL, PostgreSQL, or NoSQL databases; strong programming skills in languages such as Python, Java, or Scala; experience with ETL tools and frameworks and data pipeline orchestration; familiarity with big data technologies (e.g., Hadoop, Spark, Kafka) and cloud platforms (AWS, GCP, Azure); strong understanding of data warehousing concepts, data modeling, and schema design.

About Dexian:

Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.

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