Senior Data Architectural Specialist

3 days ago


Solapur, Maharashtra, India beBeeDataEngineer Full time US$ 15,00,000 - US$ 20,00,000
Job Description:

As a critical member of our team, you will be responsible for constructing and optimizing our data pipeline architecture. This role requires close collaboration with data scientists and analysts to facilitate data-related functionalities.

The Senior Data Engineer will design, build, and maintain highly scalable data pipelines, optimize data delivery, and automate data processes. They will work closely with cross-functional teams to ensure efficient data flow and contribute to the success of our data-driven initiatives.

  • Lead the optimization and scalability of data delivery pipelines, ensuring performance and reliability for cross-functional stakeholders.
  • Architect, build, and maintain robust, high-throughput data pipelines and infrastructure to support advanced analytics and machine learning.
  • Partner with data architects, data scientists, and analysts to design solutions that meet evolving data requirements and business objectives.
Required Skills and Qualifications:
  • A proactive leader who drives efficient data delivery, infrastructure evolution, and technical excellence.
  • Quality-oriented, with a strong sense of ownership over data reliability and accessibility.
  • Experienced in applying secure, compliant data handling practices in regulated environments.
  • Collaborative and skilled at bridging business needs with technical solutions, supporting stakeholders at all levels.
  • An expert in data warehouse architecture, dimensional modeling, and automated data engineering at scale.
Benefits:
  • 6+ years of professional experience in data engineering, with a proven track record of leading large-scale, complex projects.
  • Deep expertise in modern cloud data warehouses (Snowflake, Redshift, or BigQuery).
  • Advanced SQL skills and strong experience with relational and columnar database systems.
  • Proficiency in data pipeline/workflow orchestration tools (e.g., Apache Airflow, Dagster, Luigi).
Others:

You have:

  • Solid programming background (Python, Scala, or Java) for data processing and automation.
  • Experience designing data models and schemas for both operational and analytical use cases.
  • Strong analytical and problem-solving skills, thriving in fast-paced, high-growth environments.


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