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Data Engineer


Atlas Copco


Location

Pune | India


Job description

As a Data Engineer your mission will be to build and maintain enterprise , production-grade data pipelines, considering business requirements and data platform standards. You must have hands on experience in building ETL flows , using CI CD pipelines , using cloud technologies such as Azure Data lake, ADF, DataBricks, Visualisations tools such as Power BI. Additioanally SQL is a must. Knowledge of Python will be added advantage.

Examples of technologies you will be working with: Azure Data Lake Storage, Delta Lake, Azure Data Factory, Databricks, Azure SQL, Azure Dev Ops.

Key responsibilities and responsibility:

Build, configure, deploy, and support a production-grade, scalable and secure data platform

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

Develop data pipelines using a code-first approach in line with the platform standards and practices

Translate functional requirements into a technical design

Provide and maintain technical documentation. You will develop the visuals in Power BI for as expected by Stake holders.
Train and handover common data engineering related maintenance and monitoring activities to the Data Operations & Quality Team
Share technology and platform expertise with colleague data engineers, product owners and other people in the organization


To succeed, you will need

Skills & Experience:

The ideal candidate will have a good blend of business and technical skills. Specific requirements for this position include:

General skills:

Important areas of Expertise:

Competences:


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