Data Engineer - Gdańsk, Polska - Hcl Poland

Hcl Poland Gdańsk, Polska

4 dni temu

W pełnym wymiarze godzin

Opis

Technologies-expected : Jira SQL SERVER Power Bi SQL technologies-optional : Kafka Hadoop Spark Streaming about-project : You will be an essential part of the data engineering organization, the SAP program community and Pandora's extended Data & Analytics community.

You will work within the data product engineering team in a virtual and agile based organization.

As we are a growing team, you will have the chance to influence our culture and working tools and work together with other data engineers, front-end engineers, architects, scrum masters, product owners and much more from Europe, India and Thailand.

responsibilities :

Build high quality data products on our Azure Paas data platform At HCL, we are growing our Data & Analytics footprint.

As our new data engineer you will collaborate with product owners, architects and other key profiles across the global organisation.

You will help business verticals and clusters maximizing the value of our data and drive business change as an impact of this.

Your primary focus will be building and implementing scalable data products on our global data platform together with other smart engineers in the organization.

You will be focusing on building out our analytical stack linked to our SAP S/4 Hana implementation which will replace our current ERP landscape.

We see significant potential in enhancing our solutions with SAP as the core engine.

Further to this you will:

Work closely with your colleagues within a product team to design scalable, efficient and stable products Work closely with product owners to build/enhance and deliver features designed to support PANDORA to drive commercial business cases and efficiencies within reporting and analytics and other data driven use cases Create and maintain high quality data pipeline architecture Obtain relevant business and system knowledge to convert requirements efficiently to technical design documentation and conceptual data modelling Ingest large, complex data sets, automate manual processes, optimize data delivery, improve data quality, etc.

Own your data products and track continuous stability and benefits Live and breathe "build-once-consume-many" culture in which we enable others to use our data products for maximum value-add Work with stakeholders and teams to assist with data-related technical challenges Follow best practice and existing guidelines but also push the limits Thrive in a fast paced environment and you get motivated by challenges as a true problem solver.

We are on a journey from Iaa S based Microsoft/QV solutions to Azure Paa S with use of well-known tools and solutions like ADF, Data lake, Synapse, Analysis Services and Data Bricks.

Team Player Passionate About Data And Engineering Some would say that you are a real team player, product oriented, can-do attitude and with good stakeholder management skills.

You are structured and analytical, always aiming to achieve great results.

Furthermore, you are a confident communicator and have the ability to explain your solution design and tailor the message according to the audience.

requirements-expected : Proven experience with especially ADF, Data Bricks, Synapse, tabular models/analysis services, Power BI and SQL Server Experience with at least one object oriented or functional/scripting/querying languages – Java, Scala, Python, SQL, DAX etc.

Dev Ops and CI/CD focus preferably with JIRA Hands-on with git and coding best practice Experience in working with relational data sets using SQL Experience with datawarehousing, dimensional modelling and cubes Experience in building, and optimizing data pipelines, architectures, and datasets Experience in working with Azure, AWS or other cloud providers Designed, built and delivered production ready data products at an enterprise level Highly proficient in English and able to communicate with all levels Agile mindset and experience of Scrum offered : Life insurance Private medical care Multi Sport Card Subsidy for glasses Subsidy to language courses Christmas and holiday bonuses benefits : sharing the costs of sports activities private medical care sharing the costs of foreign language classes life insurance retirement pension plan extra social benefits employee referral program charity initiatives

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