Job Summary
We are seeking an experienced Data Engineer (PySpark) to join our Data Engineering team. The ideal candidate will be responsible for designing, developing, and maintaining large-scale data pipelines, data marts, and analytical solutions. The role requires strong expertise in Python, PySpark, SQL, Data Warehousing, and Big Data technologies, along with hands-on experience across the end-to-end Software Development Life Cycle (SDLC).

Key Responsibilities
Design, develop, and maintain scalable ETL pipelines and data processing frameworks.
Build and support Data Mart solutions to meet business and analytical requirements.
Develop high-quality, maintainable, and productive code using Python and PySpark.
Participate in the complete Software Development Life Cycle (SDLC), including:
Requirement Analysis
Development
Unit Testing
UAT Support
Defect Fixing
Production Deployment
Post-Production Support
Perform complex data analysis and troubleshoot data-related issues.
Debug and optimize PySpark applications for performance and reliability.
Write and optimize complex Oracle SQL queries.




Work with structured, semi-structured, and unstructured datasets.
Implement data quality, validation, and monitoring processes.
Collaborate with cross-functional teams to resolve dependencies and ensure timely project delivery.
Follow software engineering best practices, coding standards, testing methodologies, and CI/CD processes.

Required Skills & Experience
Data Engineering & Big Data
PySpark
Apache Spark
Hadoop Ecosystem
MapReduce
Hive
ETL Development
Data Pipeline Development
Data Mart Development
Data Warehousing
Programming
Python
Pandas
Jupyter Notebook
Database Technologies
Oracle SQL
SQL
NoSQL Databases
Query Optimization
Data Analysis
Workflow & Automation
Apache Airflow
Oozie
Jenkins
Git
CI/CD Pipelines
Data Engineering Techniques
Data Cleansing
Data Linking
Feature Engineering
Data Imputation Techniques
Data Validation and Quality Checks

Preferred Experience
Banking o

📌 Pyspark Data Engineer (Bengaluru)
🏢 Synechron
📍 Bengaluru