Senior Data Engineer

6 days ago

Noida, Uttar Pradesh, India Chenoa Information And Software Services Pvt. Ltd Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Embark on an exciting journey into the realm of software development with 3Pillar 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.

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.

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

Responsibilities :

- Lead the design and implementation of scalable ETL/data pipelines using Python and Luigi for data processing.

- Ensure efficient data processing for high-volume clickstream, demographics, and business data.

- Guide the team in adopting best practices for data pipeline development, code quality, and performance optimization.

- Configure, deploy, and maintain AWS infrastructure, primarily AWS EC2, S3, RDS, and EMR, to ensure scalability, availability, and security.

- Support data storage and retrieval workflows using S3 and SQL-based storage solutions.

- Provide architectural guidance for cloud-native data solutions and infrastructure design.

- Oversee legacy framework maintenance, identify improvement areas, and propose comprehensive cloud migration or modernization plans.

- Lead the strategic planning, execution, and optimization of large-scale data migration initiatives to Snowflake, ensuring data integrity, security, and minimal business disruption.

- Coordinate infrastructure changes with stakeholders to align with business needs and budget constraints.

- Develop and implement robust monitoring solutions to track system health, performance, and data pipeline accuracy.

- Set up alerts and dashboards for proactive issue detection and collaborate with cross-functional teams to resolve critical issues.

- Lead efforts in incident response, root cause analysis, and post-mortem processes for complex data engineering challenges.

- Document workflows, troubleshooting procedures, and code for system transparency and continuity.

- Provide mentoring and training to team members on best practices and technical skills.

- Foster a culture of continuous learning, knowledge sharing, and technical excellence within the data engineering team.

Minimum Qualifications :

- Experience : 6 years of experience in data engineering or a related technical field, with at least 4 years in a Snowflake projects.

- Cloud Data Warehousing : Proven expertise with Snowflake data warehousing, including schema design, efficient data loading (e.g., Snowpipe, COPY into), performance tuning, and robust access control mechanisms.

- Programming & Scripting : Strong programming skills in Python for automation and data workflows.

- Data Processing & Storage : Expertise in managing SQL databases for data storage and query optimization.

- Monitoring & Alerting Tools : Familiarity with monitoring solutions for real-time tracking and troubleshooting of data pipelines.

- Experience with the AWS Cloud and data engineering services

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