- Job ID: 858108

- 6 - 8 Years

- 1 Opening
- Hyderabad

Role description

- Senior Engineer - Product and Platform Engineering, with Finance domain having 6-8 years of experience, is expected to possess a strong foundation in PySpark and Python, with advanced proficiency in both.
- Proficiency in PySpark is critical as it serves as a key tool for large-scale data processing and analytics within distributed computing environments.
- The candidate should demonstrate the ability to utilize PySpark for transforming and processing structured and semi-structured data, enabling effective data manipulation and analysis.
- Experience in optimizing PySpark jobs for performance and scalability is required, along with familiarity in integrating PySpark with cloud platforms like Azure and AWS.
- Expert-level knowledge of Python is essential, given its versatility in data analysis, machine learning, and automation.
- The candidate should be adept at using Python libraries such as Pandas, NumPy, and scikit-learn,



and proficient in coding best practices including writing clean, maintainable, and efficient code.
- Real-world examples of applying Python in data-driven projects, such as building predictive models or conducting exploratory data analysis, should be highlighted in their experience.
- A Master of Technology (M.Tech) in Data Science/Big Data or a Bachelor of Engineering (B.E.) in Computer Science Engineering is required, ensuring a solid academic background.
- Certifications such as the Databricks Certified Associate Developer for Apache Spark 3.0 and Microsoft Certified: Azure Data Scientist Associate are preferred, demonstrating a commitment to professional development.
- Familiarity with version control systems, especially Git, is also valuable to have.

Skills

PySpark, Python, Python

📌 Senior Engineer - Product and Platform Engineering (India)
🏢 Altimetrik
📍 India