Steering projects that redefine urban living and drive innovation in healthcare.
Lead a team actively shaping the tech landscape for clients, setting global standards.

Experience: 5-10 years of experience in data engineering.
Strong exp in Snowflake.
Programming & Scripting: Strong programming skills in Python and Linux Bash for automation and data workflows.
Framework Proficiency: Hands-on experience with Luigi for orchestrating complex data workflows.
Data Processing & Storage: Expertise in Hadoop ecosystem tools and managing SQL databases for data storage and query optimization.
AWS Cloud Services: In-depth knowledge of AWS EC2, S3, RDS, and EMR to deploy and manage data solutions.
Monitoring & Alerting Tools: Familiarity with monitoring solutions for real-time tracking and troubleshooting of data pipelines.
Communication & Leadership: Proven ability to lead projects, communicate with stakeholders, and guide junior team members.
Data Architecture: Experience designing or optimizing data lake solutions.
Security Practices: Understanding of data security practices, data governance, and compliance for secure data processing.
Automation & CI/CD: Familiarity with CI/CD tools to support automation of deployment and testing.
Big Data Technologies: Knowledge of big data processing tools like Spark, Hive, or related AWS services.
Advanced Analytics: Background in analytics or data science to contribute to more data-driven decision-making.
Cross-Functional Collaboration: Experience collaborating with non-technical teams on business goals and technical solutions.

Senior Data Engineer, Snowflake

Key skills