Data Engineer

Our client is a global jewelry manufacturer that is transforming its data and analytics footprint and is also on a journey from IaaS-based Microsoft/QV solutions to Azure PaaS.As a Data Engineer, you will collaborate with product owners, architects, and other key profiles across the global organisation. You will help business verticals and clusters maximize the value of the data and drive business change as a result.Your primary focus will be building and implementing scalable data products on the global data platform together with other smart engineers in the organization.ResponsibilitiesWork closely with your colleagues within a product team to design scalable, efficient, and stable productsWork closely with product owners to build and deliver features designed to drive commercial business cases and efficiencies within reporting and analytics, and other data-driven use casesCreate and maintain a high-quality data pipeline architectureObtain relevant business and system knowledge to convert requirements efficiently to technical design documentation and conceptual data modellingIngest large, complex data sets, automate manual processes, optimize data delivery, improve data quality, etc.Own your data products and track continuous stability and benefitsLive and breathe "build -once-consume-many" culture in which we enable others to use our data products for maximum value-addWork with stakeholders and teams to assist with data-related technical challengesFollow best practice and existing guidelines, but also push the limitsThrive in a fast-paced environment, and you get motivated by challenges as a true problem solver.Skills RequiredRelevant education within Computer Science, Mathematics, Economics, Information Management, or Statistics3+ years of experience as a Data Engineer or in a Software engineering role with a focus on dataProven experience with ADF, Data Lake, Synapse, T/U-SQL, Databricks, MDS, DAX, SSIS, and SQL ServerExperience with at least one object-oriented or functional/scripting language - Java, Scala, Python, etc.DevOps and CI/CD focusHands-on with git and coding best practicesUnit testingExperience in working with relational data sets using SQLExperience with data warehousing, dimensional modelling, and cubesExperience in building and optimizing data pipelines, architectures, and datasetsExperience in working with Azure, AWS, or other cloud providersDesigned, built, and delivered production-ready data products at an enterprise levelHighly proficient in English and able to communicate with all levelsAgile mindset and experience of ScrumIt's a plus if you have worked with:Big data: Spark, HadoopData pipeline and workflow tools: AirflowInfrastructure: Kubernetes and Helm; we're using Airflow running on KubernetesStream-processing systems: Kafka or Spark StreamingEngagement Model: Direct Independent Contractor (Please read carefully)This is an independent contractor opportunity based on a direct contractual relationship between Zoolatech and the individual service provider.To facilitate this direct partnership, we engage with professionals who are registered and operate as a sole proprietorship, private entrepreneur, or an equivalent self-employment status in your country.Please note, our model does not accommodate contracts through third-party intermediaries such as agencies, incubators, or umbrella companies. The essential requirement is your ability to enter into a service agreement and invoice Zoolatech directly. This is not an offer of direct employmentPlease note that only candidates whose profiles closely match our requirements will be contacted.