Atlas Copco Recruitment Drive for 2023 Freshers

About Company : Atlas Copco, we have been turning industrial ideas into business-critical benefits since 1873. By listening to our customers and knowing their needs, we deliver value and innovate with the future in mind. Atlas Copco is headquartered in Stockholm, Sweden, with customers in more than 180 countries. In 2022, Atlas Copco had revenues of approx. BSEK141 (13 BEUR) and about 49 000 employees at year-end.

Company Full Name : Atlas Copco
Job Role : Data Engineer
Degree Needed : B.E/B.TECH/M.Tech/MCA
Batch : 2022/2023
Location : Pune
Last Date To Apply: 21 August, 2023

Job Description :
Roles and Responsibility :

Build, configure, deploy, and support a production-grade, scalable and secure data platform
On top of this platform, you will build and support long-term, production-grade data pipelines that ingest, store, transform, process, and expose data from producer to consumer, based on business requirements
You develop data pipelines using a code-first approach in line with the platform standards and practices
You translate functional requirements into a technical design
You provide and maintain technical documentation
You will be required to train and handover common data engineering related maintenance and monitoring activities to the Data Operations & Quality Team
You provide 2nd and 3rd level support in a DevOps operational mode or when required (very occasionally outside of office hours)
You share technology and platform expertise with colleague data engineers, product owners and other people in the organization

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Required Qualification and Skills :

To be eligible for this position, you should meet the following requirements:

You have a bachelor’s or master’s degree in computer science, engineering, or equivalent by experience

The ideal candidate has strong and demonstrable hands-on experience with data engineering on cloud-based data platforms using Data bricks (Spark), preferably based on MS Azure technology: Azure Storage, Azure SQL database, Azure data factory, Azure Data bricks
Good coding skills (Python, SQL, or Scala)
Experience with following concepts or technologies is considered a plus:
- Data Lake Storage, SQL, Hive, Presto, Databricks, Spark, Delta Lake, Hadoop, HDInsights, Cloudera, Hortonworks, MapR,
- Azure Functions, Azure Synapse, Azure Analysis Services, Power BI
- Python, SQL, Scala, Java, C#, Azure AD, Ranger,
- Docker, Kubernetes
- Azure, AWS
- Kafka, Stream Sets, REST.