About this opportunity:
As a Data Engineer in the HWM Data Management team, you turn data into actionable insights for business value creation and decision-making by synthesizing and interpreting complex data using advanced analytics, data modeling, and visualization techniques and tools. The Data Engineer advises decision-makers by outlining both causes and remedies to business problems. The Data Engineer will develop our data and analytics portfolios for our internal business stakeholders and work with establishing and building data products.
What you will do:
Drive business data and analytics requirementsUnderstand the underlying business problem to define the required data and appropriate analysisSupport with process and data expertise in business analysis assignments and validate data availability and qualitySupport in building, qualifying, and managing the funnel of data and analytics opportunities toward stakeholders in digital product engagementsProvide advice on the structuring of data in data products to meet business requirements, self-service analytics capabilities, and reading of data for AI/ML/automation use-cases, i.e. making data views fit for purpose.Perform data analytics assignmentsCollect, process, evaluate, and aggregate data from various sources to base analysis uponWork with data architects and engineers to build datasets used for analysis, and identifies based on expertise in the data domain needs for new data objects to enhance analytics outcomesPerform data modeling and analysis using the applicable statistical model, when required together with data scientists and engineersPrototyping and data storyboardingValidation of analysis resultsPressure-test/validates data model logic and algorithms from a business perspectiveVisualization and presentation of data analysisInterpret, visualize, and present results of the data analysis using appropriate techniques to enable actionable insights for business
The skills you bring:
Proficiency in languages like Python, SQL, and BASH-scriptingExperience in using Unix/Linux when it comes to cron-jobs, BASH-scripting etcSkills in using Jupyter Notebooks and Pandas for data manipulation and analysis in PythonProficiency in SQL for querying and manipulating databasesProficiency in REST APIs with Python to obtain dataProficiency in SQL for querying databases to obtain dataDatabase ManagementExperience with relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB)Knowledge of database design and optimizationETL (Extract, Transform, Load)Understanding and experience with ETL processes to extract, transform, and load data from various sources into data warehouses or data lakesData WarehousingKnowledge of data warehousing conceptsVersion ControlProficiency in using version control systems such as Git for code collaboration and tracking changesAnalytical and Statistical Skills:Data VisualizationProficiency in data visualization tools like Power BI and Matplotlib to communicate insights effectivelyExploratory Data Analysis (EDA)Ability to perform exploratory data analysis to uncover patterns, trends, and insights in data
Why join Ericsson?
At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
What happens once you apply?
Click Here to find all you need to know about what our typical hiring process looks like.
Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion 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 Employer. learn more.
Primary country and city: Hungary (HU) || Budapest
Req ID: 766083