Senior Data Scientist

3 months ago


Pune, India SPIRO Full time

Position: Senior Data Scientist / Data Engineer

Location: Pune

Experience: 5+ years


Job Summary:


We are seeking an experienced Senior Data Scientist / Data Engineer with a strong background in PySpark, Spark, and Big Data technologies. The ideal candidate will have over five years of hands-on experience in the field, demonstrating a deep understanding of data engineering principles, data science techniques, and the ability to manage and process large datasets.

Key Responsibilities:

  • Design, develop, and maintain scalable data pipelines and ETL processes using PySpark and Spark.
  • Work with large datasets to perform data wrangling, cleaning, and transformation to support various business needs.
  • Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet those needs.
  • Optimize and improve the performance of existing data processing systems.
  • Implement data quality checks and ensure data integrity.
  • Develop and maintain data models and architectures that support efficient data storage and retrieval.
  • Stay updated with the latest advancements in Big Data technologies and best practices.
  • Mentor junior data engineers and data scientists, providing guidance and support in their professional development.


Required Skills and Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
  • 5+ years of experience in data engineering or data science roles.
  • Proficiency in PySpark and Spark for large-scale data processing.
  • Strong knowledge of Big Data technologies and frameworks.
  • Experience with data modeling, ETL development, and data warehousing.
  • Proficiency in programming languages such as Python, Scala, or Java.
  • Familiarity with cloud platforms like AWS, Azure, or Google Cloud.
  • Strong problem-solving skills and the ability to work independently and in a team.
  • Excellent communication skills and the ability to convey complex data-related concepts to non-technical stakeholders.


Preferred Qualifications:

  • Experience with machine learning frameworks and libraries.
  • Knowledge of SQL and experience with relational databases.
  • Familiarity with containerization and orchestration tools like Docker and Kubernetes.
  • Experience with data visualization tools such as Tableau, Power BI, or similar.


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