Role: SDE III Data Engineer
Location: Remote
Employment Type: Contractor (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).

· Robust 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.

· Managi

📌 Data Enigneer-III (Pune)
🏢 Palo Alto Labs
📍 Pune