Data Architect Graduate Experience Jobs in Gurgaon

Job DescriptionAs a Data & Analytics Architect, you will lead key data initiatives, including cloud transformation, data governance, and AI projects. You'll define cloud architectures, guide data science teams in model development, and ensure alignment with data architecture principles across complex solutions. Additionally, you will create and govern architectural blueprints, ensuring standards are met and promoting best practices for data integration and consumption.Strong cloud data architecture knowledge (preference for Microsoft Azure)8-10+ years of experience in data architecture, with proven experience in cloud data transformation, MDM, data governance, and data science capabilities.Design reusable data architecture and best practices to support batch/streaming ingestion, efficient batch, real-time, and near real-time integration/ETL, integrating quality rules, and structuring data for analytic consumption by end uses.Ability to lead software evaluations including RFP development, capabilities assessment, formal scoring models, and delivery of executive presentations supporting a final recommendation.Well versed in the Data domains (Data Warehousing, Data Governance, MDM, Data Quality, Data Standards, Data Catalog, Analytics, BI, Operational Data Store, Metadata, Unstructured Data, non-traditional data and multi-media, ETL, ESB).Experience with cloud data technologies such as Azure data factory, Azure Data Fabric, Azure storage, Azure data lake storage, Azure data bricks, Azure AD, Azure ML etc.Experience with big data technologies such as Cloudera, Spark, Sqoop, Hive, HDFS, Flume, Storm, and Kafka.

Required Skills (must have) : Strong Knowledges/hands-on experience about offers and features of Big data technologies (especially Hadoop, Hortonworks) Strong experience of development using Spark Scala, Java, JavaScript, Nifi, Kafka, Hive, Hbase Strong knowledge of API development Strong knowledge of the java frameworks (Spring MVC, Spring Security) Hands-on knowledge of implementing multi-staged CI / CD with tools like AWS DevOps, Jenkins, BitBucket. Experience in CI / CD integration within the Java / JavaScript ecosystem with build tools like Maven, Grunt, Gulp and other Devops tooling: Jenkins, , GitLab, SonarQube, GERRIT, SBT, Nexus, Docker Experience of AGILE methods (Scrum, Kanban) Active contributions to forum and dev communityRequired Skills (should have) : Knowledges about Elastic Search/Kibana (ELK) knowledge Knowledges about Linux, Unix, Windows environments Strong knowledge on various app monitoring tools. Strong knowledge of web services (WSDL Soap, Restful) Exposure to various Data Visualization tools such as PowerBI, Tableau, and Pentaho etc. Experience with MySQL, NoSql (MongoDB, Redis, DynamoDB) Scripting Skills: Strong scripting (e.g. Python) and automation skills. Operating Systems: Windows and Linux system administration. Monitoring Tools: Experience with system monitoring tools (e.g. Nagios). Problem Solving: Ability to analyze and resolve complex infrastructure resource and application deployment issues

Experience in automobile domain especially analysing sensor data and IoT is a plus.EducationEngineering graduate in Computers, Masters in Mathematics/Statistics disciplineMajorComputer Engineering/Applications/Mathematics/StatisticsKnowledgeExperience on time series forecasting, unstructured data, deep learning, IoT sensor data and Hadoop platformSkillPython, Hadoop, MatplotLib, QlikView, SQLCertificateDiploma/Certificates in the field of Data EngineeringExperience5-10 Years of relevant experience

should have good knowlege of Python, Hadoop, MatplotLib, QlikView, SQL,Experience on time series forecasting, unstructured data, deep learning, IoT sensor data and Hadoop platformPerform in-depth analyses of business metrics, on behalf of internal customers (Sales, Marketing, Service, Factory etc.) Proficient with data manipulation and analysis tools like Python, Jupyter Notebook and Hadoop platform. Executing end to end projects and result review with internal customers Ensure the quality, stability, and evolution of our reporting tools like an Ad-hoc Dashboard Work with Data Engineer and Korea headquarters' Data Science team to help define the data standards and requirements helping to ensure our systems are running correctly and efficiently Support global training and proper documentation providing the successful on boarding for internal customers Experience in machine learning, statistics, time-series modelling, collaborative filtering and deep learning Experience in solving data-driven problems especially involving large (structured as well as unstructured) datasets. Experience in automobile domain especially analysing sensor data and IoT is a plus.