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Data Engineer

gdańsk

technologies-expected :

Jira

SQL SERVER

PowerBi

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 IaaS based Microsoft/QV solutions to Azure PaaS with use of well-known tools and solutions like ADF, Data lake, Synapse, Analysis Services and DataBricks.

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, DataBricks, Synapse, tabular models/analysis services, PowerBI and SQL Server

Experience with at least one object oriented or functional/scripting/querying languages – Java, Scala, Python, SQL, DAX etc.

DevOps 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

MultiSport 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

Złóż

Utwórz Alerty E-mailowe

Utwórz Alerty E-mailowe

Data Engineer prace w gdańsk

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