EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.We are seeking an experiencedLead Big Data Software Engineerto join our dynamic team and tackle rewarding challenges.As a Lead Engineer, you will be pivotal in creating and implementing Big Data solutions across various projects. The ideal candidate will possess deep experience in Big Data and associated technologies, strongly emphasizing Apache Spark, Python, Azure and AWS.
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#LI-DNI#EasyApplyTechnologiesHadoopHiveResponsibilitiesDevelop and execute end-to-end Big Data solutions for intricate business needsWork alongside cross-functional teams to comprehend project requirements and deliver superior software solutionsApply your knowledge in Apache Spark, Python, Azure and AWS to build scalable and effective data processing systemsMaintain the performance, security, and scalability of Big Data applicationsKeep abreast of industry trends and advancements in Big Data technologies to enhance our development processesRequirements8-12 years of hands-on experience in Big Data and Data-related technologiesExpert-level knowledge and practical experience with Apache SparkProficiency in PythonStrong proficiency with Hadoop and HiveExperience working with native Cloud data services, specifically AWS and AzureNice to haveBackground in machine learning algorithms and techniquesSkills in data visualization tools such as Tableau or Power BIKnowledge of real-time data processing frameworks like Apache Flink or Apache StormUnderstanding of containerization technologies like Docker or KubernetesWe offerOpportunity to work on technical challenges that may impact across geographiesVast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certificationsOpportunity to share your ideas on international platformsSponsored Tech Talks & HackathonsUnlimited access to LinkedIn learning solutionsPossibility to relocate to any EPAM office for short and long-term projectsFocused individual developmentBenefit package:Health benefitsRetirement benefitsPaid time offFlexible benefitsForums to explore beyond work passion (CSR, photography, painting, sports, etc.)
