Data Engineer

Data EngineerDescription -We are looking for a Data Engineer to join our team and help us build and maintain scalable data pipelines and systems. You will be responsible for designing, developing, testing, and deploying data solutions that meet the needs of our clients and stakeholders. You will also collaborate with data analysts, data scientists, and other data engineers to ensure data quality, reliability, and performance.If you are interested in working on petabytes of data from millions of devices. If solving complex data issues excites you this is the opportunity for you.ResponsibilitiesLeads the team to write, deploy, and maintain software to build, integrate, manage, maintain, and quality-assure data.Architects, designs, implements, and maintains reliable and scalable data solutions in the AWS cloud environment using Scrum/Agile methodology.Implement data ingestion, transformation, and processing workflows using ETL tools and frameworks.Researches and promotes new tools and techniques to shape the future of the data engineering environment.Ensure data security, privacy, and compliance with relevant regulations and policies.Monitor, troubleshoot, and debug data issues and performance bottlenecks. Guides team to deploy secure and well-tested software that meets privacy and compliance requirements; develops, maintains, and improves CI / CD pipeline.Document and communicate data engineering processes and solutions to stakeholders and users.Represents the data engineering team for all phases of larger and more-complex development projects.Works with following site-reliability engineering standard methodologies: on-call rotations for services they maintain, responsible for defining and maintaining SLAs. Design, build, deploy and maintain infrastructure as code. Containerizes server deployments.Actively contributes to improve developer velocity.Knowledge & SkillsDemonstrable coding expertise in one or more object-oriented programming languages (e.g., Python, Scala, Java, etc.)Deep and hands-on experience (5+ years) designing, planning, productionizing, maintaining, and documenting reliable and scalable data infrastructure and data products in complex environments.Hands on experience with: Expert in AWS tools and services such as S3, Glue, Lambda, EMR, Redshift, Athena, etc.Experience with other cloud platforms and services such as Azure, GCP, etc. is a plus.Experience with data quality, testing, and validation tools and techniquesExperience with data visualization and reporting tools such as QuickSight, Tableau, Power BI, etc.Strong analytical and problem-solving skillsExcellent communication and collaboration skill  Understanding Data Structures & Algorithms & their performanceExperience designing and implementing large-scale distributed systems.Deep knowledge and hands-on experience in technologies across all data lifecycle stagesInternal client management and ability to lead large organizations via influence​.Ability to effectively communicate product architectures, design proposals and negotiate options at senior management levels.Education & ExperienceBachelor's or Master's degree in Computer Science, Information Systems, Engineering, or equivalent.Job -SoftwareSchedule -Full timeShift -No shift premium (United States of America)Travel -Relocation -EEO Tagline - HP Inc. is EEO F/M/Protected Veteran/ Individual with Disabilities.