Vacancy expired!
Job Description
Contract role, customer 360, machine learning,Senior-level data engineering contingency worker needed for Data Mongers teamMust have- science tech or math background as far as academics, extensive exp within Hadoop, hive, scoop (the whole tech stack) 5years of exp. SQL, database management systems, NoSQL, Python must be very strong, Spark SQL, pi spark. Nice to haves: apache airflow, GCP or any cloud, querry, Kafka, someone that worked in Retail is a huge plus. Key Responsibilities:Translates complex cross-functional business requirements and functional specifications into logical program designs, code modules, stable application systems, and data solutions; partners with Product Team to understand business needs and functional specificationsCollaborates with cross-functional teams to ensure specifications are converted into flexible, scalable, and maintainable solution designs; evaluates project deliverables to ensure they meet specifications and architectural standardsContributes to the design and build of complex data solutions and ensures the architecture blueprint, standards, target state architecture, and strategies are aligned with the requirements.Coordinates, executes, and participates in component integration (CIT) scenarios, systems integration testing (SIT), and user acceptance testing (UAT) to identify application errors and to ensure quality software deploymentParticipates in all software development end-to-end product lifecycle phases by applying and sharing an in-depth understanding of complex industry methodologies, policies, standards, and controlsDevelops detailed architecture plans for large scale enterprise architecture projects and drives the plans to fruitionSolves complex architecture/design and business problems; solutions are extensible; works to simplify, optimize, remove bottlenecks, etc.Data Engineering ResponsibilitiesExecutes the development, maintenance, and enhancements of data ingestion solutions of varying complexity levels across various data sources like DBMS, File systems (structured and unstructured), APIs and Streaming on on-prem and cloud infrastructure; demonstrates strong acumen in Data Ingestion toolsets and nurtures and grows junior members in this capabilityBuilds, tests and enhances data curation pipelines integration data from wide variety of sources like DBMS, File systems, APIs and streaming systems for various KPIs and metrics development with high data quality and integritySupports the development of feature/inputs for the data models in an Agile manner; Hosts Model Via Rest APIs; ensures non-functional requirements such as logging, authentication, error capturing, and concurrency management are accounted for when model hostingWorks with Data Science team to understand mathematical models and algorithms; recommends improvements to analytic methods, techniques, standards, policies and proceduresWorks to ensure the manipulation and administration of data and systems are secure and following enterprise governance by staying compliant with industry best practices, enterprise standards, corporate policy and department procedures; handles the manipulation (extract, load, transform), data visualization, and administration of data and systems securely and following enterprise data governance standardsMaintains the health and monitoring of assigned data engineering capabilities that span analytic functions by triaging maintenance issues; ensures high availability of the platform; works with Infrastructure Engineering teams to maintain the data platform; serves as an SME of one or more applicationBI Engineering ResponsibilitiesResponsible for the development, maintenance, and enhancements of BI solutions of varying complexity levels across different data sources like DBMS, File systems (structured and unstructured) on-prem and cloud infrastructure; creates level metrics and other complex metrics; use custom groups, consolidations, drilling, and complex filtersDemonstrates database skill (Teradata/Oracle/Db2/Hadoop) by writing views for business requirements; uses freeform SQLs and pass-through functions; analyzes and finds errors from SQL generation; creates RSD and dashboardResponsible for building, testing and enhancement of BI solutions from a wide variety of sources like Teradata, Hive, Hbase, Google Big Query and File systems; develops solutions with optimized data performance and data securityWorks with business analysts to understand requirements and create dashboard/dossiers wireframes; makes use of widgets and Vitara charts to make the dashboard/dossiers visually appealingCoordinates and takes necessary actions from the DART side for application upgrades (e.g., Teradata, Workday), storage migration, and user management automation; supports such things as Cluster Management and Project Configuration settingsCompetencies:Technical CompetenciesAgile DevelopmentBig Data Management and AnalyticsCloud ComputingDatabase Design (Physical)Release ManagementQualificationsMinimum Qualifications:Bachelor's Degree in Engineering /Computer Science, CIS, or related field (or equivalent work experience in a related field)5 years of experience in Data or BI Engineering, Data Warehousing/ETL, or Software Engineering4 years of experience working on the project(s) involving the implementation of solutions applying development life cycles (SDLC)CommentsSenior level data engineering contingency worker needed for Data Mongers teamNo items were found.Vacancy expired!