Senior Data Software Engineer

Responsibilities

• Design, develop, and optimize robust data pipelines using PySpark and Python to process large datasets

• Collaborate with cross-functional teams to understand complex business requirements and transform them into scalable technical solutions

• Utilize Palantir Foundry to build and manage analytics applications that enable strategic and operational insights

• Manage data integration workflows across distributed computing systems, building high-quality ETL/ELT processes

• Develop advanced SQL queries for data querying, transformation, and warehousing

• Stay engaged with Agile methodologies and participate in Scrum ceremonies to align work with the broader project goals

• Document technical solutions and workflows to ensure knowledge sharing and long-term maintainability

• Troubleshoot and resolve data processing or platform issues in a fast-paced, production-grade environment

• Stay up-to-date with the latest advancements in cloud technologies, Big Data processing, and Machine Learning

• Participate in code reviews and promote best practices in software engineering

Requirements

• Bachelor’s degree in Computer Science, Data Science, or a related technical field

• 5+ years of experience in Data Integration, with a focus on large-scale distributed computing or analytics systems

• Palantir Foundry expertise – prior hands-on experience is essential for this role

• Strong proficiency in Python and PySpark for building scalable data workflows

• In-depth knowledge and experience in SQL (preferably Spark SQL), enabling efficient data querying and warehousing

• Experience designing and implementing ETL/ELT processes for large datasets

• Solid understanding of Scrum and Agile development principles

• Strong analytical and problem-solving skills, with a strategic mindset for tackling complex challenges

• Highly self-driven and capable of managing workload independently while delivering on commitments

• A collaborative mindset, paired with clear and effective communication skills, including experience working in global, multicultural settings

• Eagerness to learn and stay current with emerging technologies and best practices in data engineering and analytics

Nice to have

• Familiarity with insurance, financial industries, or finance-related data workflows

• Knowledge of front-end technologies like HTML, CSS, JavaScript, and build tools like Gradle

• Experience with Microsoft Power BI for building data dashboards and reports

• Hands-on experience with Machine Learning or implementing Generative AI models

• Understanding of statistical models and their applications in data pipelines

• Exposure to Azure, AWS, or GCP cloud platforms, enabling high-quality engineering solutions

We offer/Benefits

We connect like-minded people:

• Delivering innovative solutions to industry leaders, making a global impact 
• Enjoyable working environment, whether it is the vibrant office or the comfort of your own home 
• Opportunity to work abroad for up to two months per year 
• Relocation opportunities within our offices in 55+ countries
• Corporate and social events  

We invest in your growth: 

• Leadership development, career advising, soft skills and well-being programs 
• Certifications, including GCP, Azure and AWS
• Unlimited access to LinkedIn Learning and Udemy
• Free English classes with certified teachers 

• Discounts in local language schools, including offline courses for the Uzbek language

We cover it all:

• Monetary bonuses for engaging in the referral program 
• Medical & family care package   
• Four trust days per year (sick leave without a medical certificate)   
• Discounts for fitness clubs, dance schools and sports programs
• Benefits package (sports activities, a variety of stores and services)