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Senior Data Engineer - Snowflake DB Job Opening In Noida – Now Hiring Chenoa Information And Software Services Pvt. Ltd


Job description

<p><p><b>Embark on an exciting journey into the realm of software development with 3Pillar!</b> We extend an invitation for you to join our team and gear up for a thrilling adventure.

At 3Pillar, our focus is on leveraging cutting-edge technologies that revolutionize industries by enabling data driven decision making.

<br/><br/>As a Senior Data Engineer, you will hold a crucial position within our dynamic team, actively contributing to thrilling projects that reshape data analytics for our clients, providing them with a competitive advantage in their respective industries.<br/><br/>If your passion for data engineering solutions that make a real-world impact, consider this your pass to the captivating world of Data Science and Engineering! <br/><br/><b>Responsibilities :</b><br/><br/>- Lead the design and implementation of scalable ETL/data pipelines using Python and Luigi for data processing.<br/><br/></p><p>- Ensure efficient data processing for high-volume clickstream, demographics, and business data.<br/><br/></p><p>- Guide the team in adopting best practices for data pipeline development, code quality, and performance optimization.<br/><br/></p><p>- Configure, deploy, and maintain AWS infrastructure, primarily AWS EC2, S3, RDS, and EMR, to ensure scalability, availability, and security.<br/><br/></p><p>- Support data storage and retrieval workflows using S3 and SQL-based storage solutions.<br/><br/></p><p>- Provide architectural guidance for cloud-native data solutions and infrastructure design.<br/><br/></p><p>- Oversee legacy framework maintenance, identify improvement areas, and propose comprehensive cloud migration or modernization plans.<br/><br/></p><p>- Lead the strategic planning, execution, and optimization of large-scale data migration initiatives to Snowflake, ensuring data integrity, security, and minimal business disruption.<br/><br/></p><p>- Coordinate infrastructure changes with stakeholders to align with business needs and budget constraints.<br/><br/></p><p>- Develop and implement robust monitoring solutions to track system health, performance, and data pipeline accuracy.<br/><br/></p><p>- Set up alerts and dashboards for proactive issue detection and collaborate with cross-functional teams to resolve critical issues.<br/><br/></p><p>- Lead efforts in incident response, root cause analysis, and post-mortem processes for complex data engineering challenges.<br/><br/></p><p>- Document workflows, troubleshooting procedures, and code for system transparency and continuity.<br/><br/></p><p>- Provide mentoring and training to team members on best practices and technical skills.<br/><br/></p><p>- Foster a culture of continuous learning, knowledge sharing, and technical excellence within the data engineering team.<br/><br/><b>Minimum Qualifications :</b><br/><br/>- Experience : 6 years of experience in data engineering or a related technical field, with at least 4 years in a Snowflake projects.<br/><br/></p><p>- <b>Cloud Data Warehousing :</b> Proven expertise with Snowflake data warehousing, including schema design, efficient data loading (e.g., Snowpipe, COPY into), performance tuning, and robust access control mechanisms.<br/><br/></p><p>- <b>Programming & Scripting :</b> Strong programming skills in Python for automation and data workflows.<br/><br/></p><p>- <b>Data Processing & Storage :</b> Expertise in managing SQL databases for data storage and query optimization.<br/><br/></p><p>- <b>Monitoring & Alerting Tools :</b> Familiarity with monitoring solutions for real-time tracking and troubleshooting of data pipelines.<br/><br/></p><p>- Experience with the AWS Cloud and data engineering services<br/><br/></p><br/></p> (ref:hirist.tech)

Required Skill Profession

Computer Occupations


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