Data Engineer (m/f/d)

MOTHERBOARD
We, softwareXperts, are looking for qualified IT experts with broad know-how for our customers from different industries.

INFRASTRUKTUR
Our client is an Austrian IT company and world market leader in its field.

DEINE UPGRADES

- Home office possibility
- Good public transport connections
- Flexitime arrangement
- Assumption of costs for commuters (climate ticket)
- Modern office equipment
- Vouchers for massages, sports activities etc.
- Relocation bonus

DEINE HARD- UND SOFTWARE

- IT education (HTL, technical college, university).
- Experience in designing and deploying data solutions, including data pipelines, modelling and/or processing.
- Good knowledge of the latest data engineering tools and technologies, including ETL/ELT, SQL/NoSQL databases, data lake storage and DWH
- Hands-on experience with stream and batch processing technologies such as Apache Spark
- Know-how in dealing with complex data structures
- Experience with Python and Pyspark
- PLUS: Experience with Apache Airflow
- PLUS: experience with AWS cloud solutions such as Amazon Glue, DMS, Athena, Redshift Spectrum
- Very good English skills

DEINE TASKS

- Design and build secure, scalable and resilient end-to-end data architectures and solutions.
- Developing state-of-the-art data pipelines and streamlining data transfers between platforms and databases
- Build and develop solutions to monitor the health of data workflows and optimise performance and stability
- Ensure that data in our environment is stored in a clean, structured, secure and cost-effective manner
- Ensuring the accuracy and availability of application and business data
- Implement data quality strategies
- Gain access to external data and make it available for internal use

The minimum salary for this position is € 70,000 gross per year, with the willingness to pay more depending on qualifications and experience. If you want to be part of a motivated team and contribute to the long-term success of the company, please apply with your application documents, quoting reference number 8482.

GEWÜNSCHTE TECHNOLOGIEN
Apache Spark, DWH (Data-Warehouse), ETL - Extract Transform Load, NoSQL, Python, SQL, Amazon Glue, Athena, Redshift Spectrum

GESUCHTER BEREICH
DWH / BI - Developer

EINSATZORT
Linz