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| Job Location | Pune |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | Logistics / Courier / Transportation |
| Functional Area | DBA / Datawarehousing |
| EmploymentType | Full-time |
Joining Maersk will embark you on a great journey with career development in a global organization.You will be exposed to a wide and challenging range of business issues through regular engagement with key stakeholders across all management levels within Maersk.You will work and communicate across geographical and cultural borders that will enable you to build a strong professional network. We believe people thrive when they are in charge of their career paths and professional growth. We will provide you with opportunities to broaden your knowledge and strengthen your technical and professional foundation.Show More We offerBy choosing Maersk, you join not only for the role, but for a career. From here your path may take you towards extended responsibilities within Application Development, IT Delivery or IT Leadership.We aim to be a world-class professional IT organization that delivers business value through automation, standardization and innovation. We believe in empowerment where each of us takes ownership and responsibility for developing and implementing new ways of working.Show More Key responsibilitiesProject experience using Azure cloud, data lake storage, Data factory, Hadoop 2.x, HDInsight, Spark, Scala, Hive, HDFS. Exp with Spark more relevant. Exp on creating Batch and Realtime Data pipelines on Azure Data Platform using Logic Apps, Automation Run Books, Azure Data Factory, Azure Databricks, Azure Event Hub, Kafka, Azure Stream Analytics. Experience in performance tuning of complex ETL mappings for relational and non-relational workloads Advanced SQL programming, SparkSQL, PySpark, PL/SQL or T-SQL, Hands on Unix scripting or PowerShell, experience with Azure PaaS services Hadoop Data Serialization mechanism line PARQUET, AVRO, ORC. Hands on experience in Azure, preferably data heavy / analytics applications leveraging relational and NoSQL databases, data warehouse and big data. Design DWH model, ensuring data design follows the prescribed reference architecture framework while reflecting appropriate business rules built for logical, physical and conceptual model. Experience with enterprise-class data modelling tools (Erwin Data Modeler, Sparx Enterprise Architect etc) Facilitate data integration, data conformity, data integrity and ensure data structures are designed for flexibility to support future business needs and enhancements. Understand the relationships across business information and units of data, Reverse engineer data from various source systems. Ensure that data transformations are well documented follow best practices and understood by business users and developers. Have experience cleansing, manipulating and analysing large datasets both structured and Unstructured. Exceptional data analysis, critical thinking, communication, problem solving and cross-group collaboration skills Experience with Power BI would be an added advantage Show More We are looking forWe are seeking for a Big Data Engineer who has strong experience in DWH, ETL and BI technologies on Big Data Framework/Hadoop Technologies.One who has been in at least 4-5 BI projects and has 4+Yrs Exp and Strong Coding skills in Scala.Candidates must have strong communication skills that allow you to regularly deal with the business, as well as with specialists from related fields including BA s, architects and Front-End EngineersShow More,
Keyskills :
content managementemailsqlanalyticsapachesparx enterprise architectbig datapower bidata analysisdata modelingunix scriptingdata integritydata structuresdata integration