Essentials for Being Successful in This Role
Minimum
5 years of experience
in software development and system design
Minimum
2 years of experience
as a Data Engineer focused on data modelling, governance, and platform administration.
Expertise in Snowflake or similar MPP databases.
Robust SQL skills.
Experience with multiple database technologies (MSSQL, PostgreSQL, OLAP, OLTP).
Familiarity with ETL/ELT tools and methodologies.
Experience with database health monitoring, stored procedures, and schema design.
Practical understanding of data governance principles.
Experience with cloud settings (SaaS, PaaS, IaaS).
Strong communication skills, both written and verbal.
Experience in technical design and documentation.
Proficiency with source control systems (Git, Gitflow).
Experience with Agentic AI (Claude, GPT, etc.).

Desirables (Nice to Have)
Familiarity with Generative AI and Spec-Driven Development.
Experience with test automation.
Experience with Kafka, Azure Event Hubs, Azure Service Bus.
Knowledge of CI/CD practices.




Ability to work independently and within Agile teams.
Experience with Azure cloud services.
Exposure to Master Data Management (MDM).
Python skills for data transformation and pipeline automation.
Understanding data mesh principles.
Solid prioritization and multitasking abilities.

Roles & Responsibilities
Designing, building, testing, and maintaining scalable data models using Apache Airflow and Python.
Administering Snowflake environments, monitoring system health and performance.
Managing and optimizing Snowflake virtual warehouses for efficiency and cost-effectiveness.
Managing the MLOps workflow through Snowflake registrations and Snowpark.
Promoting self-service and decentralized data ownership across teams.
Enforcing data governance policies to ensure standardization, quality, and compliance.
Providing technical assistance and cross-training to team members.
Participating in

📌 Sde Iii Data Engineer Pune
🏢 Actualize
📍 Pune