Principal Data Architect

7 days ago


Lucknow, Uttar Pradesh, India beBeeData Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Senior Data Engineer

We are seeking an experienced Senior Data Engineer to join our team. As a key member of our data engineering group, you will be responsible for designing, building, and deploying scalable enterprise data analytics solutions from source systems through ingestion and reporting.

Your primary focus will be on developing and maintaining large-scale data pipelines, ensuring high-quality data integration, and optimizing performance. You will work closely with cross-functional teams, including data scientists, analysts, and platform engineers, to enable analytics and machine learning use cases.

  • Design and Build Scalable Data Pipelines: Develop robust, scalable, and high-quality data pipelines that support analytics and reporting needs.
  • Cloud Platform Engineering: Operationalize data solutions on cloud platforms, integrating services like Azure, Snowflake, and third-party technologies.
  • Data Modeling & Architecture: Apply dimensional modeling, star schemas, and data warehousing techniques to support business intelligence and machine learning workflows.
  • Data Governance & Security: Ensure data integrity, privacy, and compliance through governance practices and secure schema design.

Required Skills and Qualifications:

  • 7+ years of data engineering or design experience: designing, developing, and deploying scalable enterprise data analytics solutions.
  • 5+ years of experience in ML Lifecycle using Azure Kubernetes service: building datasets, ML pipelines, experiments, logging, and monitoring.
  • 5+ years of experience in data engineering using Snowflake: designing, developing & scaling complex data & feature pipelines feeding ML models and evaluating their performance.
  • Proficiency in SQL and one other programming language: e.g., R, Python, C++, Minitab, SAS, Matlab, VBA.

Benefits:

  • A competitive salary package: including benefits and opportunities for growth and development.
  • A collaborative and dynamic work environment: working with talented professionals who share your passion for data engineering.
  • The opportunity to work on challenging projects: that push the boundaries of what is possible with data engineering.

Others:

  • Experience with Agile/Scrum operating: using Azure DevOps.
  • Experience with MS Cloud - ML Azure Databricks, Data Factory, Synapse: among others.

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