A.P. Moller - Maersk is an integrated container logistics company working to connect and simplify its customer's supply chains. As the global leader in shipping services, the company operates in 130 countries and employs roughly 70,000 people. With simple end-to-end offering of products and digital services, seamless customer engagement and a superior end-to-end delivery network, Maersk enables its customers to trade and grow by transporting goods anywhere - all over the world. For more information click here. All the way. We are seeking candidates with 9+ years of experience in building data products. Candidate must have extensive experience in extracting data from multiple systems, building reliable data pipelines and transforming data so that it can easily be analyzed or consumed by downstream consumers and systems. Candidate should also have the ability to visualize and analyze data in dashboards or build custom data applications. The hire should be able to mentor junior team members and take larger responsibilities in the team deliverables. Required Technical Skills: Minimum 2+ years of working experience in MS Azure PaaS Services - Data Bricks, Data Factory, Analysis Service Extensive experience in using BI tools / Big data solutions on MS Azure cloud (Spark/ PySpark/Spark SQL/Scala) Expert in SQL programming advanced knowledge of NoSQL concepts and technologies such as Mongo DB, Cassandra, HBase, Cosmos DB Experience in data heavy/analytics applications leveraging relational and NoSQL databases, data warehouse and big data Experience with enterprise-class data modelling tools including Power Designer, ER/Studio, Erwin Data Modeler, Sparx Enterprise Architect Good knowledge of Hadoop 2.x, HDInsight, Scala, Hive, Pig, Sqoop, HDFS Hands-on experience in Power BI to visualize data 5+ years of experience in the field of enabling connectivity or supporting the integration of applications and processes - API Management, Robotic Process Automation, Job/Batch Scheduling (using Jenkins) etc. Exceptional in data analysis data modelling Ability to work with parametric non-parametric mathematical models to solve machine learning (ML) problems Practical understanding of ML models linear regression, logistic regression, time series forecasting, decision trees, random forest etc 5+ years of experience of delivering analytics solution from start to finish Experience range is between 9 to 12 Yrs. Job Responsibilities include: Utilize the deep understanding knowledge about data storage and compute to deliver complex data solutions from start to finish Design DWH model ensuring data design follows the prescribed reference architecture framework while reflecting appropriate business rules built for logical, physical, and conceptual model Build optimal data pipeline for extraction, transformation, and loading of data from a wide variety of data sources. Performance tuning of complex ETL mappings for relational and non-relational workloads Perform cleansing, manipulation, and analysis of large datasets, both structured and Unstructured Visualize and analyze data in dashboards or build custom data application Identify, design, and roll-out internal process improvements: automating manual processes, optimizing data delivery, etc. Build enhance data statistical models Ensure that data transformations are well documented, follows best practices and are understood by business users and other members of scrum team Work with stakeholders to identify the best solution for any given problem