Chief Data Architect

7 days ago

Pune Mumbai Delhi, India beBeeData Full time US$ 1,50,000 - US$ 2,00,000
Job Description

The Senior Data Engineer is a strategic leader who oversees the design, development, and optimization of data infrastructure and systems to meet complex business needs. They play a key role in developing and managing large-scale data pipelines, ensuring scalability, reliability, and performance.

This position requires a high degree of technical expertise and collaboration with cross-functional teams to deliver innovative data solutions. The ideal candidate will have a strong understanding of best practices in data management and governance.

  • Lead Data Pipeline Development: Design and develop advanced data pipelines that ensure seamless ETL/ELT of data into enterprise storage systems.
  • Oversee Data Integration: Integrate data from diverse sources while maintaining data consistency, integrity, and compliance with enterprise standards.
  • Transform Raw Data: Cleanse, aggregate, filter, and enrich raw data to make it usable for business applications.
  • Optimize Data Pipelines: Ensure data pipelines and workflows are optimized for scalability, performance, and cost efficiency.
  • Establish Data Validation Mechanisms: Implement robust data validation, quality checks, and error-handling mechanisms to ensure enterprise data integrity.
Required Skills and Qualifications

The following skills and qualifications are required for this position:

  • Education: Bachelor's degree in Computer Science, Data Science, Software Engineering, Information Systems, or related quantitative field; Master's degree preferred.
  • Experience: 8+ years of data engineering experience, including expertise in data integration, pipeline optimization, and enterprise-scale data solutions.
  • Skills: Advanced proficiency in Apache technologies (Kafka, Airflow, Spark) and programming languages (Python, Java, Scala); Expertise in data query tools (SQL, Hive) and database technologies (NoSQL, Hadoop, Teradata); Strong knowledge of cloud platforms (AWS, Azure, GCP) and modern data architectures.
Benefits

The benefits of working in this role include:

  • Opportunity to Work with Cutting-Edge Technology: This role provides the opportunity to work with the latest data technologies and innovations.
  • Collaborative Environment: Our team is known for its collaborative and supportive environment.
  • Professional Growth Opportunities: We offer opportunities for professional growth and development.

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