Job Summary
5 - 8 years
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:
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.
Deliver Data products from start to finish, including testing and deployment.
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.
Understand, build, & enhance Data 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.We are looking for

A total of 5+ 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.

Required Technical Skill Set

Minimum 1 year of working experience in MS Azure PaaS Services - Data Bricks, Data Factory, & Analysis Service.
Working experience using BI tools / Big Data solutions on MS Azure cloud (Spark / PySpark / Spark SQL / Scala).
Hands-on experience in Advanced SQL programming, NoSQL, PL/SQL or T-SQL.
Working Knowledge of Python programming language.
Hands-on experience in Power BI to visualise Data.
4+ years of experience in the field of enabling connectivity or supporting the integration of applications and processes on Machine to Machine level as well
as end users, e.g. API Management, Robotic Process Automation, Job/Batch Scheduling (using Jenkins)), Electronic Data Exchange System, etc.
2+ years of experience of delivering analytics solution from start to finish.
Exceptional Data analysis skills to prepare Data for further use or consumption.

Good to have Technical Skill Set

Knowledge of Machine Learning concepts like linear regression, time series forecasting, decision trees, random forest etc.
Working experience in Linear programming or other optimization techniques would be an added advantage.
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.
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