Sr. Data Engineer (Python | PySpark | FastAPI)

Posted Yesterday
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Pune, Maharashtra, IND
In-Office
Senior level
Artificial Intelligence • Analytics • Business Intelligence • Consulting
The Role
Design and maintain scalable data pipelines using Python and PySpark; build FastAPI REST APIs; develop SQL queries and transformations; apply data warehousing, modeling, and ETL/ELT practices; support CI/CD deployments; perform data profiling and quality checks; gather requirements; document solutions; and contribute to architecture and process improvements.
Summary Generated by Built In
Role Overview

We are looking for a skilled Data Engineer with strong hands-on experience in Python, PySpark, and FastAPI. The ideal candidate should be proficient in building scalable data pipelines, working with cloud/data warehousing environments, and collaborating with cross-functional teams to deliver high-quality data solutions.


Key Responsibilities
  • Design, develop, and maintain scalable data pipelines using Python and PySpark.

  • Build and manage REST APIs using FastAPI for data integration and consumption.

  • Work with SQL extensively for querying, data transformation, and performance optimization.

  • Implement and follow best practices in data warehousing, data modeling, and ETL/ELT processes.

  • Collaborate using GitHub or similar version control and collaboration tools.

  • Work with CI/CD pipelines for deploying data workflows and services.

  • Conduct data profiling and quality checks to ensure accuracy and reliability.

  • Gather business requirements, perform analysis, and create clear documentation.

  • Participate in design reviews and contribute to data process improvements and architecture decisions.



RequirementsRequired Skills & Experience
  • Strong proficiency in Python, PySpark, and SQL.

  • Hands-on experience building APIs with FastAPI.

  • Experience with GitHub or similar code collaboration/version control tools.

  • Good understanding of data warehousing concepts, data modeling, and best practices.

  • Exposure to CI/CD pipelines and modern DevOps practices.

  • Experience in data profiling, requirements documentation, and data process design.

  • Strong analytical and problem-solving abilities.

  • Excellent communication and documentation skills.



Skills Required

  • Strong proficiency in Python
  • Strong proficiency in PySpark
  • Strong proficiency in SQL
  • Hands-on experience building APIs with FastAPI
  • Experience with GitHub or similar version control and collaboration tools
  • Understanding of data warehousing concepts and data modeling
  • Exposure to CI/CD pipelines and modern DevOps practices
  • Experience in data profiling, requirements documentation, and data process design
  • Strong analytical and problem-solving abilities
  • Excellent communication and documentation skills
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The Company
222 Employees
Year Founded: 2017

What We Do

ScatterPie Analytics is a data analytics and business intelligence company that modernizes enterprise decision-making. It brings together open-source technologies and enterprise tools to create powerful, cost-effective, and flexible intelligence solutions. The company delivers end-to-end analytics, including data engineering, cloud data platforms, business intelligence, AI, decision intelligence, and industry-focused analytics solutions, transforming raw data into actionable insights for evidence-based decisions across modern organizations.

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