Software Engineer - ETL Developer with Python

We are   seeking   a highly skilled and motivated Data Engineer to join our dynamic team. The ideal candidate will   possess   advanced technical   expertise   in Python programming, relational databases, and ETL processes, with   a strong foundation   in data modeling, transformation, and processing of both structured and unstructured data. This role will also play a pivotal part in expanding our data engineering capabilities to incorporate agentic AI solutions, driving automation and intelligence across our data workflows.

Design, develop, and   maintain   scalable and robust data pipelines and ETL systems using Python and   SQLAlchemy .   Transform and process large datasets from diverse sources, ensuring data integrity, quality, and consistency.   Optimize   and build efficient SQL queries for data retrieval and manipulation; manage and interact with relational databases (MSSQL, PostgreSQL, Oracle, etc.).   Collaborate with cross-functional teams to understand data requirements and deliver innovative solutions.   Implement data models and structures to support business intelligence, analytics, and machine learning initiatives.   Leverage advanced Python programming techniques and libraries (e.g., Pandas,   Numpy ) to solve complex data challenges.   Architect and implement agentic AI solutions to automate data processes, enhance pipeline intelligence, and support next-generation analytics.   Work with AWS cloud services related to data engineering   ( AWS   Batch, S3, Lambda, etc.).   Stay abreast of emerging trends in data engineering and   AI and   proactively recommend improvements.   Integrate real-time data streaming solutions (e.g., Kafka, Kinesis) into data pipelines.   Technical Skills:   Python Programming Language:   Level: Advanced   Key Concepts :   Multi-threading, Multi-processing, Regular Expressions, Exception Handling, Generators, Decorators, Context Managers,   Asyncio , Type Hinting, and best practices for scalable code.   Libraries: Pandas,   Numpy ,   SQLAlchemy , etc.     Data Modelling and Data Transformation:   Level: Advanced   Key Areas: ETL, processing structured and unstructured data, data quality, and integrity.   Relational Databases:   Level: Advanced   Key Areas: Query Optimization, Query Building, Experience with ORMs like   SQLAlchemy , Exposure to databases such as MSSQL, PostgreSQL, Oracle, etc.   Agentic AI / Automation:   Exposure to or interest in agentic AI frameworks and tools (e.g.,   LangChain , OpenAI APIs, or similar).   Experience integrating AI/ML models into data pipelines is a plus.   Cloud Technologies:   Good experience   with AWS data engineering services (Athena, AWS Batch, S3, Lambda, etc.).   Real-Time Streaming:   Experience with real-time data streaming platforms (Kafka, Kinesis, etc.) is a plus.   Programming Paradigms:   Functional and Object-Oriented Programming (OOPS): Intermediate   Problem Solving:   Strong analytical and problem-solving skills for feature development and automation.

Bachelor’s or   master's   degree in computer science , Engineering, or a related field.   Proven experience as a Data Engineer or in a similar role.   Experience with agentic AI or automation frameworks is a plus.   Excellent communication and teamwork abilities.   Ability to work in a fast-paced, agile environment.   What’s   in it for you :   Opportunities for professional growth and development .    Exposure to a talented technical team, providing an environment that encourages learning and skill enhancement.   Collaborative and inclusive work environment.   #LI-SP7 Who are we? At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert analysis and bold ideas to deliver actionable, objective business and technology insights, helping enterprise leaders and their teams succeed with their mission-critical priorities.