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.
Solid 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.
Strong 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

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