Lead Data Software Engineer (Quillota)

OverviewWe are looking for a seasoned Lead Data Software Engineer to join our team remotely and support the advancement of our Data Science projects.In this position, you will take charge of designing and managing datamarts while delivering efficient and scalable data solutions tailored to client requirements. Your responsibilities will include building and maintaining data pipelines, providing operational support, and collaborating with Data Science teams to ensure exceptional outcomes. Additionally, you will lead a team of talented professionals, offering guidance and mentorship to foster innovation and drive impactful results.ResponsibilitiesProvide leadership and mentorship to the Data Software Engineering team, encouraging growth and continuous learningCollaborate with diverse teams to deliver data solutions that align with project goals and timelinesDevelop and improve Data Software Engineering processes focused on automation, efficiency, and innovationDesign and implement scalable data solutions using AWS infrastructureEnhance workflows and data processing through the use of tools like Apache Airflow and Apache SparkStay updated on industry advancements and integrate best practices into engineering strategiesOffer operational support for data pipelines and datamarts to ensure smooth performanceOversee the development and deployment of REST APIs to facilitate effective data integration and communicationWork directly with clients to gather requirements and deliver customized solutionsManage team structure and processes to ensure timely and effective project deliveryCollaborate with stakeholders, demonstrating excellent leadership and communication skillsRequirementsA minimum of 5 years of experience as a Data Software Engineer, with a strong focus on large-scale and complex data infrastructuresAt least 1 year of experience in leading and managing a team of engineersComprehensive knowledge of AWS services, including the ability to design and implement scalable data solutionsAdvanced experience with Apache Airflow and Apache Spark for optimizing workflows and data processingProficiency with CI / CD tools like Jenkins for streamlining pipeline deliveryStrong skills in Python and SQL for developing and maintaining data pipelines and ETL processesHands-on experience with Databricks and PySpark for data processing and analysisFamiliarity with REST APIs to enable seamless data integration and communicationExcellent analytical and problem-solving skills for navigating complex technical environmentsStrong client-facing abilities to ensure alignment and collaboration on project objectivesExceptional organizational and leadership skills for managing efficient project executionUpper-intermediate English proficiency for effective communication with teams and stakeholdersNice to haveFamiliarity with Redshift for data warehousing and analysisWe offerInternational projects with top brandsWork with integral teams of highly skilled, diverse peersEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedInSeniority levelMid-Senior levelEmployment typeFull-timeJob functionInformation Technology, Engineering, and Business DevelopmentIndustriesSoftware Development, IT Services and IT Consulting, and Technology, Information and Internet #J-

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