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Senior Data Analyst

2 months ago


Gurugram, India Capital Numbers Full time

Roles and Responsibilities:


  • Develop efficient data ingestion pipelines to collect data from various sources (databases, APIs, files)
  • Ensure data quality and integrity throughout the ingestion process
  • Data Transformation and Normalization
  • Design and implement data transformation logic to normalize and structure data for analysis
  • Create data models and schemas that effectively represent the underlying business processes
  • Utilize Python libraries and tools to clean, preprocess, and enrich data.
  • Develop and maintain data models and schemas that support business requirements
  • Collaborate with data analysts and scientists to understand data needs and translate them into technical solutions
  • Design and implement data warehousing solutions to store and manage large datasets efficiently
  • Optimize data storage and retrieval performance
  • Identify and optimize data pipelines and queries for performance improvements
  • Implement strategies to handle large datasets efficiently



Qualifications:


  • Bachelor's degree in Computer Science, Engineering, Statistics, or a related field
  • 3 to 4 years of experience in data engineering or a related role
  • Strong proficiency in Python programming and data manipulation libraries (Pandas, NumPy, Scikit-learn)
  • Expertise in SQL for data querying and manipulation
  • Hands-on experience with large datasets and distributed computing frameworks (e.g., Spark)
  • Proven ability to design and implement data pipelines and ETL processes
  • Knowledge of data modeling and warehousing concepts
  • Strong problem-solving and analytical skills
  • Excellent communication and collaboration abilities