Senior Cloud Data Scientist

2 days ago

Mumbai, Maharashtra, India beBeeDataEngineer Full time ₹ 15,00,000 - ₹ 24,00,000

Job Title : Senior Data Engineer


Profile Overview :

We seek talented data professionals to collaborate closely with data scientists and business users in designing and building data pipelines for data quality, analysis and machine learning projects.


Responsibilities :

  • Analyze raw data identifying and addressing quality issues using SQL, Python libraries (Pandas, NumPy) and other data manipulation tools.
  • Develop and maintain data pipelines for extraction, transformation, and loading (ETL).
  • Perform data integrity checks and automate manual data processes for efficiency.
  • Utilize statistical analysis and data visualization methods to explore data and prepare it for modelling.
  • Deliver data sets in formats suitable for machine learning algorithms used by data scientists.
  • Collaborate with data scientists and business users to understand data structures, variables, and systems.
  • Troubleshoot data-related technical issues with data analysts and business teams.
  • Define user access and ensure data distribution to the right users in the appropriate format and timeframe.

Technical Skills & Requirements :

Essential :

  • 3+ years of experience in data manipulation and wrangling for analytics.
  • Proficiency in SQL or NoSQL databases.
  • Strong understanding of data structures and design principles.
  • Experience with Python libraries for data manipulation (Pandas, NumPy etc.).
  • Experience with Azure cloud tools like Azure Data Factory, Synapse, etc., and medallion lake house architecture.
  • Experience in containerizing solutions for CI/CD flows using Azure Containers, Kubernetes, Docker etc.

Desirable :

  • Certification in MS SQL or similar data warehousing or data management solution (SSIS/SSRS/SSAS).
  • Familiarity with cloud platforms (AWS, GCP, Azure).
  • Experience with data warehousing concepts and tools.
  • Knowledge of data version control systems (e.g., Git).

Soft Skills :

  • Excellent collaboration skills to work effectively with data scientists, analysts, and business users.
  • Positive and proactive approach to problem-solving.
  • Strong communication skills to explain technical concepts to non-technical audiences.

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