Senior Data Architecture Specialist

1 week ago

Varanasi, Uttar Pradesh, India beBeeDataEngineer Full time ₹ 18,00,000 - ₹ 25,00,000

Role Summary:

Overview

In this key position, you will be responsible for designing, developing, and maintaining robust data pipelines to support business intelligence and machine learning initiatives.

Key Responsibilities
  • Develop scalable data architectures using cloud-based data warehousing platforms and distributed frameworks like Spark.
  • Design and develop data pipelines for both structured and unstructured data using Python, SQL, PySpark, and bash scripts.
  • Collaborate with cross-functional teams to understand business requirements and design data solutions that meet those needs.
  • Work with data scientists to build ML models by providing them with high-quality, well-documented data.
  • Implement software engineering principles in the design and development process to ensure maintainability, scalability, and reliability.
  • Use CI/CD tools and orchestration to automate deployment and testing of data pipelines.
Requirements
  • Bachelor's or master's degree in Computer Science, Data Science, Engineering, or a related field with 3+ years of experience.
  • Proficiency in Python, SQL, PySpark, and bash scripts.
  • Familiarity with cloud-based data warehousing platforms and distributed frameworks.
  • Experience working with data engineering tools such as Delta Lake, Databricks Workflow, Job Clusters, Databricks CLI, and Databricks Workspace.
  • Solid understanding of machine learning life cycle, data mining, and ETL techniques.
  • Familiarity with commonly used machine learning libraries (scikit-learn, xgboost).
  • Excellent communication skills and ability to work with cross-functional teams.

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