Data Engineer - SnapLogic

Overview

We are looking for an experienced Data Engineer with a strong background in SnapLogic to join our dynamic team. The ideal candidate will possess expertise in data integration, ETL processes, and cloud technologies, ensuring seamless data flow across systems to support our analytics initiatives.

📍 Location: Bangalore Urban, India

⏰ Work Mode: Work from anywhere

💼 Role: Data Engineer - SnapLogic

What You'll Do

 Design and implement data integration workflows using SnapLogic for ETL/ELT processes.

 Orchestrate and schedule workflows using Apache Airflow, ensuring reliability and scalability.

 Develop and maintain Python scripts for data transformation, automation, and custom connectors.

 Collaborate with business and technical teams to gather requirements and deliver optimized solutions.

 Monitor, troubleshoot, and optimize data pipelines for performance and efficiency.

 Ensure compliance with security, governance, and data quality standards.

 Document processes, workflows, and best practices for ongoing support and knowledge sharing.

What We're Looking For

 SnapLogic: Strong experience in building pipelines, managing snaps, and integrating with cloud/on-prem systems.

 Airflow: Expertise in DAG creation, scheduling, and managing dependencies.

 Python: Proficiency in scripting, data manipulation (Pandas), and API integrations.

 Good understanding of ETL concepts, data modeling, and integration patterns.

 Good Understanding of Linux operating system

 Familiarity with cloud platforms AWS and related services, EC2, EMR, CloudWatch

 Knowledge of version control bit-bucket and CI/CD practices.

 Knowledge of Snowflake data lake

 Strong problem-solving skills and ability to work in a fast-paced environment.

 Excellent communication and collaboration skills.

 Ability to manage multiple priorities and deliver within deadlines.