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Job Overview:
We are seeking a highly skilled and experienced BigData/PySpark Engineer to join our energetic Big Data Analytics team. This role is pivotal in designing, developing, and optimizing robust, scalable data pipelines for large-scale data processing and analytics.

Key Responsibilities:
Design & Development: Create and optimize scalable ETL (Extraction, Transformation, Loading) pipelines using PySpark for massive datasets.
Coding & Engineering: Write clean, productive, well-documented code primarily in Python (PySpark) often leveraging frameworks/tools.
Collaboration: Work with cross-functional teams (senior developers, data engineers, analysts, business partners) to understand data requirements and ensure seamless solution integration.
Full SDLC Involvement:



Participate in the entire software development lifecycle, from requirements analysis and design to testing, deployment, and operations.
Data Integrity: Ensure high data quality and integrity throughout the data lifecycle.

Key Experience & Expertise:
Object-Oriented Programming (OOP): Solid foundation in OOP concepts.
Big Data Development: Expertise in PySpark, HDFS, Hive, Sqoop, and Hadoop for Big Data environments.
Database Technologies: Positive exposure to SQL Server and ORACLE databases. Experience with query writing for data validation/manipulation
Scripting & Automation: Proficient in Shell Scripting and experience with job scheduling tools like Autosys.
BI Reporting Tools: Some exposure to BI tools, specifically Tableau.
Tools & Practices: Proficient with Git; experience with JIRA, Confluence. Familiarity with DevOps and CI/CD pipelines.Job Family Group:Technology
Job Family: Applications Developm

📌 Pyspark Big Data Developer Pune (India)
🏢 Citi
📍 India