
Senior Data Scientist
3 months ago
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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