# Senior Data Engineer - PySpark & Python

> GSSTech Group · Bengaluru, India · — · Posted 2026-07-21

**Workplace:** on_site

## Description

We are looking for an experienced Senior Data Engineer with strong expertise in PySpark and Python to join our Data Engineering team supporting enterprise-scale Data & Analytics initiatives. The ideal candidate will have hands-on experience in building scalable ETL pipelines, data marts, and production-grade data engineering solutions across structured, semi-structured, and unstructured datasets.

The role requires strong technical capabilities in Big Data technologies, data warehousing, data analysis, software engineering best practices, and end-to-end SDLC ownership. Candidates with banking or financial services domain experience will be highly preferred.

## Requirements

### Key Responsibilities

-   Design, develop, and maintain scalable ETL pipelines and data marts using PySpark and Python.
-   Build robust, maintainable, and production-ready data engineering solutions.
-   Perform end-to-end SDLC activities including development, UAT support, bug fixes, production deployments, and post-production support.
-   Work with large-scale structured, semi-structured, and unstructured datasets.
-   Perform data analysis, cleansing, transformation, and feature engineering activities.
-   Debug and optimize PySpark code and complex SQL queries for performance and scalability.
-   Develop and maintain production-grade data pipelines using modern data engineering best practices.
-   Collaborate with cross-functional teams to resolve dependencies and ensure timely project delivery.
-   Participate in CI/CD implementation, testing, validation, and deployment activities.
-   Ensure data quality, integrity, and consistency across enterprise data platforms.
-   Work closely with technical and business stakeholders to understand data requirements and deliver scalable solutions.
-   Contribute to technical documentation, engineering standards, and process improvements.

### Required Technical Skills

### Programming & Data Engineering

-   Python (Expert level)
-   PySpark (Expert level)
-   ETL Pipeline Development
-   Data Mart Development
-   Data Warehousing Concepts
-   End-to-End SDLC Experience

### Big Data Technologies

-   Apache Spark (PySpark)
-   Hadoop
-   MapReduce
-   Hive
-   Pandas

### Database Technologies

-   SQL
-   NoSQL Databases
-   Oracle SQL
-   Oracle Query Optimization & Data Analysis

### Data Engineering & Analytics

-   Data Analysis
-   Data Cleansing
-   Data Linking
-   Data Transformation
-   Feature Engineering
-   Imputation Techniques
-   Data Validation

### Workflow & Orchestration Tools

-   Apache Airflow
-   Oozie
-   Jenkins Pipelines

### Software Engineering & DevOps

-   Git Version Control
-   CI/CD Pipelines
-   Testing & Validation of Data Pipelines
-   Production Deployment & Support
-   Software Engineering Best Practices

### Development Tools

-   Jupyter Notebook
-   Git

### Required Experience

-   5+ years of commercial experience in Data Engineering or related data-driven roles.
-   Strong hands-on experience in building ETL pipelines and Data Marts.
-   Proven experience in developing production-grade PySpark and Python solutions.
-   Strong understanding of software engineering concepts and best practices.
-   Experience working with large-scale data processing frameworks.
-   Hands-on experience with production support, UAT activities, and deployment processes.
-   Strong analytical and debugging capabilities for PySpark and SQL-based data solutions.
-   Experience working within Agile delivery environments is preferred.

### Preferred Domain Experience

-   Banking & Financial Services (Highly Preferred)
-   Digital Products
-   Data & Analytics Platforms

### Soft Skills & Competencies

-   Strong analytical and problem-solving skills.
-   Excellent communication and interpersonal skills.
-   Ability to communicate effectively with both technical and non-technical stakeholders.
-   Strong ownership mindset and accountability for deliverables.
-   Ability to work under pressure and effectively prioritize tasks.
-   Strong collaboration skills with cross-functional teams.
-   Ability to lead technical initiatives and drive delivery outcomes.
-   Excellent verbal and written communication skills in English.

### Nice to Have

-   Banking domain experience.
-   Experience working with enterprise-scale Data & Analytics platforms.
-   Exposure to Agile methodologies and modern data engineering practices.
-   Knowledge of production-grade data pipeline monitoring and optimization.

## Apply

[Apply at GSSTech Group](https://apply.workable.com/gsstech-group/j/A353DC8B0C/apply)

---
Powered by [Workable](https://www.workable.com)