Data Engineer

4 weeks ago

pune, India Atlas Copco Full time
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The Role

Atlas Copco is a global, industrial company based in Stockholm, Sweden, with almost 40, employees and customers in more than countries. Atlas Copco has been driven by an innovative spirit ever since the start in .
Did you know that Atlas Copco is the largest Air Compressor manufacturer in the world with its compressors being used in industries ranging from hospitals to offshore oil drills? Are you looking to be part of an organization which believes in investing in its people and contributing towards their organic growth? Would you be interested to be part of the organization which is tasked with establishing, consolidating and unifying data and analytics services across the business areas of Atlas Copco? Are you an experienced data engineer who would like to use their experience to build and maintain enterprise-production-grade data pipelines, considering business requirements and platform standards? This might be the perfect opportunity for you to make a difference.

Who are we?
The Data Analytics is the competence within Atlas Copco's Global Engineering Center India Air Power (GECIA) responsible for establishing, consolidating, and unifying data and analytics services across the business areas of Atlas Copco. We strive to become the business partner for trusted, transparent, and robust enterprise data to enable data driven decision making.

You would be a part of Data Analytics Team of Global Engineering Center (GECIA) of Atlas Copco India Ltd and supporting VTBA from our Hinjewadi location in Pune, India. As a Data Engineer within our Data Anlytics Competence team, based out of Pune, you will lead the management and organisation of data for our custom-built applications. You will be instrumental at every stage of the project lifecycle from extracting, transforming, and loading (ETL) data, to managing data pipelines and cloud infrastructure. .

What are we looking for?
We are looking for minimum 5-8 years of experienced Data Engineers to build and maintain enterprise , production-grade data pipelines, considering business requirements and data platform standards. You will be expected to liaise with internal customers/stakeholders, understand their requirements, and propose solutions that align with their expectations. While you will be part of the local team at Atlas Copco, Pune office, you will also have the opportunity to be part of global project deliveries with potential on-site work if required.

As a key member of the highly motivated Data Analytics Competence Team, your work will enable team members to deliver "first time right" application delivery.

Principal Duties and Responsibilities

You will be responsible for the management and organization of data for our applications

You will handle ETL processes, and manage data pipelines for a variety of applications, these will include shop floor applications, enterprise applications and home-grown applications developed within the team. You will manage the data cloud infrastructure in Azure & Data Lakehouse. You will also manage data in SAP using both SAP HANA and API connections You will interact with the customers/stakeholders to understand their requirements and propose solutions. You will work closely with 'Application Owners' and be responsible for end-to-end processes/deployment. You will document technical & functional application aspects and release notes to facilitate the aftercare of the application You’ll be expected to work across the data spectrum and not be afraid to support the team in data analytics and data science activities if your skillset allows whilst prioritising your key projects.

To succed you will Need:

Important areas of Expertise

Skills & Experience: 

We are looking for minimum 5-8 years of experienced Data EngineersThe ideal candidate will have a good blend of business and technical skills. Specific requirements for this position include: General skills: • You have a Maters degree in computer science of equivalent by experience • The ideal candidate has strong and demonstrable hands-on experience with data engineering on cloud-based data platforms

Required Skills

Strong working knowledge of ETL processes, and data pipeline management Experience using SAP & SAP HANA Strong capability with Python Good understanding of cloud platforms like Microsoft Azure and Data Lakehouse Good understanding of low code workflow automation tools (Power Automate ) Strong SQL skills and ability to both design, build and extract data from SQL databases Excellent English communication skills (written, oral), with good listening capabilities. Good technical analytical, debugging, and problem-solving skills Has a reasonable balance between getting the job done vs technical debt Enjoys enabling seamless deployments in a fast-moving environment. Effective team player working in a team; willingness to put the needs of the team over their own Experience with Microsoft Power Platform low-code tools (Power Apps/Power Automate/Dataverse)

Preferred Skills

Experience with product development for the Microsoft Azure platform Experience with product development life cycle would be a plus Experience with agile development methodology (Scrum) Functional analysis skills and experience (Use cases, UML) is an asset. Experience in NoSQL databases would be an asset. Experience with a MES system or PLM system is an asset. Experience in data science activities such as advanced analytics and machine learning would be an asset.

Competences:
• You have a passion for innovation and technologies, combined with strong technical and analytical skills.
• You are customer oriented, enthusiastic, and professional

• You have a “can-do” mindset, “hands-on” approach and are decisive. You are not afraid of making errors and are willing to learn by doing
• You are a strong communicator with excellent collaboration skills and are customer focused
• You have self-drive and passion • You are flexible and prepared to work outside of business hours if required to meet a deadline.
• You have a proactive attitude and always strive for continuous improvement
• You are able to cooperate with different levels in the organization, with different people and cultures
• You can maintain good relations with external parties

• You are stress resistant.

• You are result oriented and quality focused on terms of processes.

What we offer

Flexible working hours A modern infrastructure providing you with the latest tools and technologies at your disposal A challenging environment which contributes to your constant learning and professional growth To be part of the data competence team which is constantly growing Depending on the country you are enrolled in group healthcare insurance plans covering your medical needs A chance to become part of a global, innovative company, supporting sustainable productivity You get the opportunity to bring revolutionary ideas fostering innovation and execute qualified ideas A friendly culture with immense professional and personal development, education and opportunities for career growth Free access to LinkedIn Learning and many other internal and external trainings Atlas Copco offers trainings on a regular basis to acquire new skills You get the opportunity to make the world a better place through our sustainable goals and by contributing and being part of our 

City
Pune

Last Day to Apply

06/09/

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