Job Description

Our solutions are a key part of most industries - electronics, medical research, renewable energy, food production, infrastructure and many more. Working with us means working with the latest technologies and groundbreaking, sustainable innovations.Join us on our journey for a better tomorrow.Your RoleAbout us:Did you know that the solutions we develop are a key part of most industries ? Electronics, medical research, renewable energy, food production, infrastructure and many more.Wexc2xb4re everywhere! Working with us means working with the latest technologies and groundbreaking, sustainable innovations. With our inclusive and caring environment, you get the support and inspiration you need to grow.Within the Service Division of Compressor Technique, we are committed to achieving optimal availability of components and services, ensuring our clients receive exceptional service. Our CTS data team spans four locations and includes members from eight different nationalities, all working together to deliver data-driven insights. The solutions we develop empower 3,000 individuals in the service division to make informed, day-to-day decisions.Atlas Copco is a Swedish multinational industrial company that was founded in 1873. It manufactures industrial tools and equipment. The Atlas Copco Group is a global industrial group of companies headquartered in Nacka, Sweden.:We are looking for a skilled Senior Data Engineer to join our dynamic team. The ideal candidate will have a passion for building and optimizing data pipelines, as well as managing the flow of data across various systems to support business insights. You will play a critical role in ensuring data is readily accessible for analysis, enabling data-driven decision-making, and identifying opportunities for process optimization through efficient data architecture and engineering solutions.The Role

• As a Senior Data Engineer, you will provide engineering skills to both Data Science Research Teams and BI/Reporting Project Teams to source, extract, combine, transform, and clean data into useable, secure, and accessible datasets.
• This will include providing advice on optimal Data Model design.
• As a valued member of the Data analytics, you will contribute to the definition of the key capabilities the team must implement to realise its goal of delivering a trusted Data
• As a Senior Data engineer, you will use your engineering skills to produce high quality reusable data assets .
• As a valued member of the Data analytics team use will contribute to shaping the direction of this embryonic team

To succeed, you will needKey responsibilities and accountabilities:Skills and Experience

• Should have strong 3-6-years' experience on ETL and ELT.
• Expert knowledge of SQL with capabilities to perform tune complex SQL queries.
• Should have strong hands-on experience building data pipelines & data modelling.
• Design and implement effective database solution and data models to store and retrieve data.
• Provide guidance/advice on data and solution to stakeholders
• Effective problem solving and analytical skill, ability to manage multiple projects.
• Experience with any data virtualisation methodologies
• Be able to assemble large, complex data sets from multiple data sources that meet business requirements.
• Be able to create documentation on the data pipelines and data models developed.
• Design/Build/Test/Deploy/Operate/Support/Change
• Good knowledge on BI development principles, time intelligence functions, dimensional modelling and data visualization is required.
• Able to lead and take E2E ownership of small projects in data engineering space.
• You have a good understanding of data warehousing and relational database concepts & technologies.

Competences

• You are a team player and able to motivate people.
• You are a customer focused, flexible, enthusiastic.
• You have good leadership skills.
• You have very strong analytical skills.
• You have a strong drive, and you take initiative.
• You are flexible, eager to learn new things and able to adapt in a fast-changing world.
• You are result oriented and quality focused, both in terms of deliveries and processes.
• You work systematically and accurately with a strong focus on user experience.

Stakeholder management:

• You can discuss with stakeholders about their requirements and clearly communicate back your understanding of the requirements.
• You can work with the stakeholders to understand the big picture and work towards it
• Educate users regarding the functionalities provided and train them in using the visualization tool efficiently.
• Work with team members and other users from the organization at different levels for performance improvement and suggestions

Must have:

• Azure Data Bricks, Azure Data factory, SQL, Python, PySpark, ETL
• Excellent knowledge (oral and written) of English is required
• Exposure to recent trends in data world : Gen AI , ML, lang chain ..etc

Nice to have:

• Knowledge/experience of Microsoft Azure applications
• Experience of a Source Control system such as Git or SVN
• Mentor and guide Junior team members.
• Knowledge of Marketing processes

Education
The ideal candidate has a degree in Computer Science, Information Technology, Business economics or equal through experience. Any Graduate (B.E / B.Tech/MCA/MTech/BSc/MSc/MCs) in Engineering with 3-6 years of experience in Data Engineering field , projects and tools.Knowledge

• You have strong technical knowledge, specific knowledge of the Data Analysis tools,methodologies, reporting etc.
• Good analytical skills: You feel comfortable working with numbers/data, e.g. collecting and analysing trend graphs, combining the info with insights from ERP and previous site visits, xe2x80xa6 to come to a sound conclusion.
• Working Knowledge of Agile scrum ceremonies.

Personality requirements

• You like open communication and enjoy working with different cultures
• You are decisive (not afraid of making errors and willing to learn by doing)
• Open minded; expect the unexpected stay sceptical when viewing at the data and info)
• Not afraid to approach other stakeholders (customer centre specialists, local engineering, or technical support specialists)
• You work with a structured approach when collecting info and data, but also when closing the feedback loop to further increase your learning.

In return, we offer youWhat we offer

• Flexible working hours
• Office and home working policies
• 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 Water for all projects.
• Friendly and open culture of Swedish company. Very high visibility in the organization with "No door" culture, you can always talk to anyone in the organization.
• Free Canteen & Transport facility

xe2x80x8bCity
PuneLast Day to Apply21-10-2024Diverse by nature and inclusive by choice
Bright ideas come from all of us. The more unique perspectives we embrace, the more innovative we are. Together we build a culture where difference is valued and we share a deep sense of purpose and belonging.

Atlas Copco