Data Engineer - Digital Transformation (699013)   

Our Exciting Opportunity:

We are now looking for a Data Engineer to be responsible for developing scientific methods, processes, and systems to extract knowledge or insights to drive the future of applied analytics. Provide guidance and thought leadership to Product owner, Business Analyst and other stakeholders, Perform Data Extraction, Data Validation and Data Analysis to explore possibility to improve and implement new features that might be helpful for the business in decision making. Create insights into data to provide to the business concrete insights, identify trends, and measure performance which address business problems. Collaborate with business and process owners to understand business issues, and implement and deploy scalable solutions, where applicable.

You will:

• work closely with Product owner, Business Analyts to guide and recommend them with Data Engineering & Data Analytics activity
• Analyze and investigate data quality for identified data and communicate it PO, BA and other relevant stakeholders
• Collect Data, organize it, and perform analysis to extract information suitable to the business need
• Identify gaps in the data, aggregate data as per business need
• Perform Data & Analytics Leadership
• Synthesize problems into data question(s)
• Decide approach for addressing business needs with Data & analytics
• Design & perform Data Analysis, Data Validation, Data Transformation, Feature Extraction, create data Pipeline
• Develop Data Science and Engineering Infrastructure &Tools
• Convert data into actionable insights and new features
• Understand end user needs and work accordingly with identifying new features in the data
• Derive key metrics suitable for the use-case and present the analysis to key stakeholder

To be successful in the role you must have:

• Change& Improvement Management Skills
• Creating & innovating solution and generating new ideas with Data
• Learning and Researching
• Good understanding of Data Science and Data Engineering toolbox
• Applying expertise and technology and improving the product with recommendation around data
• Analyzing Data and Presenting outcome to key stakeholders exploring new data source
• Excellent coding skills in python, SQL
• Understanding of cloud services preferably Azure and Data Bricks

Qualification

• A Master’s or higher degree in Computer Science, Statistics, Mathematics, or related disciplines
• Evidence of academic training in Statistics
• Deep/broad knowledge of machine learning, statistics, optimization, or related field
• A genuine interest in new and applied technology and software engineering coupled with a high degree of business understanding
• Any applied research contributions to the community in terms of technical papers and patents, are encouraged

What´s in it for you?

Here at Ericsson, our culture is built on over a century of courageous decisions. With us, you will no longer be dreaming of what the future holds – you will be redefining it. You won’t develop for the status quo but will build what replaces it. Joining us is a way to move your career in any direction you want; with hundreds of career opportunities in locations all over the world, in a place where co-creation and collaboration are embedded into the walls. You will find yourself in a speak-up environment where empathy and humanness serve as cornerstones for how we work, and where work-life balance is a priority. Welcome to an inclusive, global company where your opportunity to make an impact is endless.

What happens once you apply?

To prepare yourself for next steps, please explore here: https://www.ericsson.com/en/careers/job-opportunities/hiring-process

In case of any queries please get in touch with

Recruiter :- Kalpana Dubey, [email protected]

Location:- Stockhom, Sweden

Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we nurture it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team.

Ericsson is proud to be an Equal Opportunity and Affirmative Action employer, https://www.ericsson.com/en/careers

Primary country and city: Sweden (SE) ||

Req ID: 699013