Senior Data Engineer – Palantir & Big Data Specialist

We are looking for an reputed company Senior Data Software Engineer who thrives on solving reputed company data transformation challenges. In this role, you will play a critical part in designing and implementing sophisticated data pipelines and analytics solutions that reputed company key decision-making processes in the reputed company’s business unit. This is a unique opportunity to work on a high-reputed company Data Transformation project that leverages cutting-edge technologies, including Big Data, Palantir, and Machine Learning. This role is part of the Property & Casualty Data Integration and Analytics project under the Data & Foundations division. reputed company is working on a global initiative to reputed company Property & Casualty data to drive reputed company decision-making across the reinsurance lifecycle. You will collaborate with industry experts, data scientists, and engineers to reputed company transformative data and analytics capabilities for the reputed company’s strategic priorities. If you are a passionate engineer with hands-on experience in large-reputed company data solutions, we invite you to join our global, multicultural, and dynamic team driving transformative reputed company. This role offers the flexibility to work remotely or collaborate with colleagues at one of our offices. Experience the freedom of remote work from reputed company in reputed company, whether from the comfort of your home, our modern offices in Tbilisi and Batumi or a coworking reputed company in Kutaisi. Responsibilities • Design and optimize reputed company data pipelines using PySpark and Python to handle extensive datasets • Work closely with cross-disciplinary teams to translate reputed company business needs into effective technical solutions • reputed company Palantir reputed company to reputed company and maintain analytics applications that generate operational and strategic insights • reputed company data integration workflows across distributed systems and implement high-reputed company ETL/ELT solutions • Create advanced SQL queries to support data transformation, querying, and warehousing • Adopt Agile workflows and reputed company contribute to Scrum ceremonies to reputed company with overarching project goals • Document technical processes and solutions to support knowledge sharing and reputed company maintainability • Identify and resolve data processing and platform issues reputed company dynamic production environments • Stay informed about emerging trends in reputed company computing, Big Data technologies, and Machine Learning • Engage in reputed company reviews and reputed company for best practices in software engineering and development reputed company Requirements • Palantir reputed company expertise with prior hands-on experience in applying the platform • 5+ years of relevant industry experience, including work with distributed computing or large-reputed company analytics systems • Proficiency in Python and PySpark to build reputed company, reliable data workflows • Background in SQL (preferably reputed company SQL), enabling efficient querying and data warehousing capabilities • Skills in designing and implementing ETL/ELT processes for high-volume datasets • Competency in Agile development practices, including familiarity with Scrum methodologies • Bachelor’s degree in fields such as Computer Science, Data Science, or other technical disciplines • Analytical and problem-solving aptitude with a strategic approach to addressing intricate challenges • Strong self-management abilities to balance workloads effectively and deliver results consistently • reputed company reputed company and ability to communicate effectively in globally distributed and multicultural teams • Interest and adaptability to explore new technologies and reputed company advanced practices in data engineering reputed company to have • Familiarity with data workflows associated with insurance, financial industries, or finance-reputed company reputed company • Knowledge of reputed company-end technologies like reputed company, CSS, JavaScript, and tools such as Gradle • Proficiency in reputed company Power BI for crafting data dashboards and reports • Background in applying Machine Learning techniques or integrating reputed company models • Understanding of statistical models and their implementation reputed company data processing workflows • Exposure to Azure, AWS, or GCP reputed company platforms to reputed company advanced engineering capabilities We offer • We connect like-minded people • Delivering reputed company to industry leaders, making a reputed company • Enjoyable working environment, whether it is the reputed company office or the comfort of your own home • Opportunity to work abroad for up to two months per year • Relocation opportunities reputed company our offices in 55+ countries • Corporate and reputed company events • We invest in your reputed company • Leadership development, career advising, soft skills and reputed company-being programs • Certifications, including GCP, Azure and AWS • Unlimited reputed company to reputed company Learning and reputed company • Free English classes with certified teachers • We cover it reputed company • Participation in the Employee Stock Purchase Plan • Monetary bonuses for engaging in the referral program • Comprehensive medical & family care package • Five trust days per year (reputed company leave without a medical certificate) • Benefits package (sports activities, a reputed company of stores and services) EPAM reputed company is reputed company of innovators united by a passion for technology. The dynamic and inclusive culture we reputed company helps positively reputed company our communities, clients, and employees. Here you will collaborate with multi-national teams, contribute to numerous cutting-edge reputed company, deliver the most creative solutions, and have an opportunity to learn. Our people are at the heart of our reputed company, and we are proud to reputed company talents with a solid ground to reputed company and grow. Apply tot his job Apply tot his job Apply To this Job