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Snowflake Architect

Job in 400001, Mumbai, Maharashtra, India
Listing for: Talent Toppers
Full Time position
Listed on 2026-02-27
Job specializations:
  • IT/Tech
    Data Engineer, Data Warehousing, Cloud Computing
Job Description & How to Apply Below
Overview

We are seeking an accomplished Senior Data Engineer for our client with 8+ years of hands-on expertise in data warehousing, ETL development, and cloud platforms. The ideal candidate will be highly proficient in Snowflake, ETL (Talent Enterprise/ Informatica Power Center), and Python, with a proven track record of designing high-performance, scalable data pipelines. This role requires
strong leadership in data engineering, a focus on optimizing ETL performance, and a passion for
leveraging cloud technologies and automation to transform data into actionable insights.

Key Responsibilities

- ETL and Data Warehousing:
Develop, and maintain robust, scalable ETL pipelines and
data warehouse solutions using Snowflake, ETL (Talend Enterprise/ Informatica Power Center),
and Python.

- Cloud Data Engineering:
Design and implement cloud-native data solutions, ensuring
performance, cost-efficiency, and scalability.

- Performance Optimization:
Continuously monitor and optimize ETL processes and data
pipelines for maximum efficiency and reliability

- Agile & Dev Ops Implementation:
Drive the adoption of Agile methodologies and Dev Ops
best practices to enhance team efficiency and accelerate delivery cycles.

- Automation &

Innovation: Identify opportunities for automation throughout the data
lifecycle and implement innovative solutions to streamline operations.

- Stakeholder

Collaboration:

Work closely with business, analytics, and IT stakeholders to
understand data requirements and deliver solutions that drive business value.

Qualifications

- 8+ years of experience in data engineering, data warehousing, and ETL development.

- Advanced proficiency in Snowflake, ETL (Talend Enterprise/ Informatica Power Center), and
Python(Good to have).

- Strong background in designing and implementing scalable, high-performance data pipelines.
- Demonstrated experience in delivering complex projects.

- Solid grasp of Agile and Dev Ops principles with practical experience implementing these in
data engineering environments.

- Excellent communication and collaboration skills.

- Strong sense of ownership, accountability, and proven problem-solving abilities

Preferred Skills

- Experience driving team transformation and process improvement through automation and
cloud adoption.

- Ability to foster a culture of innovation, continuous learning, and excellence.

- Prior experience working in fast-paced, data-driven organizations.
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