Job Summary
Location
Maharashtra,Pune
Experience
9 - 12 years
Skills
Machine Supervisor, Data Processing,
Data Entry Machine Operator
Last Date to Apply
02 Apr 2021
 
Data Engineer
Maersk Global Service Centres India Private Limited
Posted on: 01 Feb 2021
Job Description

Key responsibilities

As a data Engineer with the Maersk Digital team, you will help build cloud data products working on both front end and back end technologies using various

programming languages and development tools for the end users to use for their business needs.

Your responsibilities will be to:
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.
Visualise and analyse 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.
Mentor junior team members and take larger responsibilities in the team deliverables.We are looking for

A total of 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 analysed or consumed by downstream consumers and systems. Candidate should also have the ability to visualize and analyse data in dashboards or build custom data applications.
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: PowerDesigner, 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 visualise 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.
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