Senior Engineer Data Analytics (mfdiv)

Bosch Group; Dresden; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A leading technology company in Germany is seeking a highly motivated Senior Engineer Data Analytics. This role involves developing analytics templates, ensuring data quality, and designing data pipelines using SQL, Impala, and Spark. Candidates must have an academic background in relevant fields and experience in data analytics, especially with programming languages like R and Python. Fluency in English and German is essential. This position is full-time, located in Dresden, and does not offer remote work.

Qualifikationen

• Several years of experience in data analytics using programming languages.
• In-depth understanding of statistics, Machine Learning and Time Series Analytics.
• Strong communication skills and customer orientation required.

Aufgaben

• Create analytics templates according to user requests including documentation and training.
• Design data pipelines using SQL, Impala and Spark to enhance analytics tasks.
• Set up checks of data and software quality.

Kenntnisse

Data analytics

Statistics

Machine Learning

Visualization

SQL

Python

R

C#

Spark

Ausbildung

MSc diploma or PhD in mathematics, statistics, physics, IT or similar

Tools

SQL

Impala

Spark

Jobbeschreibung

Overview

We are looking for a highly motivated person who is interested to work at the interface of development, production and data. The role of Senior Engineer Data Analytics is to structure the analytics requirements of our engineers and use skills in statistics, visualization and machine learning to offer the best solution possible within our analytics toolset. You will be responsible for the following activities:

Responsibilities

• Supporting our engineers: You will create analytics templates according to user requests including documentation and training of users. Your first tasks will include meeting the analytics requirements of development and engineering teams for MEMS (Micro-Electro-Mechanical System) products.
• Making things smarter: To facilitate analytics tasks you will use your in-depth knowledge of statistics and machine learning. You are motivated to cover the required steps towards the solution from first idea to deployment.
• Ensuring quality: Data- and software quality are the basis for all of our activities. You will set up checks of data and software quality in your area of expertise and will take action to solve found issues together with other engineers or software vendors.
• Using and extending your skills: Depending on the project needs you will design data pipelines using SQL, Impala and Spark and extend our analytics tools using programming languages such as R, Python or C#.
• Enabling others: You are willing to enable others through trainings, presentations or supervision, e.g. of student activities.

Qualifications

• Education: academic degree (MSc diploma or PhD) in mathematics, statistics, physics, IT or similar
• Experience and know-how: several years of experience in data analytics using programming languages (R, Python) or visual data analytics software, ideally in the semiconductor industry; in-depth understanding of statistics, Machine Learning and Time Series Analytics; advanced programming skills in at least one of the following: Python, R, IronPython or C#; basic skills in application of SQL and Impala to relational and non-relational databases; experience with Spark SQL and Spark MLlib would be a plus; ideally experience with the functionality and testing of MEMS sensors
• Personality and Working Practice: structured problem solver, high level of interdisciplinary comprehension and customer orientation, strong communication skills, reliable team player
• Languages: fluent in English and German

Additional Information

• Sie haben Fragen zum Bewerbungsprozess
  Susanne Reinert (Personalabteilung)
  -2112
• Sie haben fachliche Fragen zum Job
  Sarah Fischbach (Fachabteilung)
  -3612

Remote Work

No

Employment Type

Full-time

Key Skills

Apache Hive, S3, Hadoop, Redshift, Spark, AWS, Apache Pig, NoSQL, Big Data, Data Warehouse, Kafka, Scala

Experience: years

Vacancy: 1