Hiring Data Engineer-Snowflake @Mumbai-Goregaon, MNC
3 days ago
Key Responsibilities
- ETL and Data Warehousing: Develop, and maintain robust, scalable ETL pipelines and
data warehouse solutions using Snowflake, ETL (Talend Enterprise/ Informatica PowerCenter),
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 & DevOps Implementation: Drive the adoption of Agile methodologies and DevOps
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
7+ years of experience in data engineering, data warehousing, and ETL development.
Advanced proficiency in Snowflake, ETL (Talend Enterprise/ Informatica PowerCenter), and
Python.
Strong background in designing and implementing scalable, high-performance data pipelines.
Demonstrated experience in delivering complex projects.
Solid grasp of Agile and DevOps 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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