Note: Please apply only if you're available for walk-In interview on 22nd November at Bangalore office (Manyata Tech park)

Job Title: Data Engineer (PySpark + Databricks)

Location: [Insert Location]

Employment Type: Full-time

Experience Level: 4-12 years (adjust as needed)

Role Overview

We are seeking a skilled Data Engineer with strong experience in PySpark and Databricks to design, develop, and optimize large-scale data pipelines and solutions. The ideal candidate will work closely with data architects, analysts, and business stakeholders to ensure efficient data processing and integration across platforms.

Key Responsibilities

• Design and implement scalable ETL pipelines using PySpark on Databricks.
• Develop and maintain data workflows for structured and unstructured data.
• Optimize Spark jobs for performance and cost efficiency.
• Collaborate with cross-functional teams to integrate data from multiple sources.
• Ensure data quality, security, and compliance with organizational standards.
• Work with cloud platforms (Azure/AWS/GCP) for data storage and processing.
• Troubleshoot and resolve issues in data pipelines and workflows.

Required Skills

• Strong proficiency in PySpark and Databricks.
• Hands-on experience with Spark SQL, Delta Lake, and data lake architectures.
• Knowledge of cloud services (Azure Data Lake, AWS S3, or GCP equivalent).
• Familiarity with CI/CD pipelines and version control (Git).
• Experience with performance tuning in Spark environments.
• Good understanding of data modeling and data warehousing concepts.

Preferred Skills

• Experience with Airflow, Azure Data Factory, or similar orchestration tools.
• Knowledge of Python, SQL, and REST APIs.
• Exposure to machine learning workflows on Databricks is a plus.

Education

• Bachelor’s or master’s degree in computer science, Information Technology, or related field.