Role:
SDE III Data Engineer

Location:
Pune (Hybrid)

Employment Type:
Contract (6 months)

Application Stack
- Python/ PySpark
- Apache AirFlow
- Snowflake
- SQL Database
- MLOps
- Snowpark
- Azure/AWS Functions
- Blob Storage
- XML, JSON
- GitHub

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.
- Strong 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 environments (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.
- Robust 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

📌 Actualize - Software Development Engineer III - Data Engineering (Pune Division)
🏢 Actualize
📍 Pune Division