Data Engineer in GaydonData Engineer in Gaydon |
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Location: Gaydon Salary: Hidden Recruiter: Tata Technologies Date Advertised: 2024-06-19 |
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At Tata Technologies we make product development dreams a reality by designing, engineering and validating the products of tomorrow for the world’s leading manufacturers. Due to our continued growth we are now recruiting for a Data Engineer to be based at our office in Gaydon Our Digital Enterprise Solutions (DES) Department leverages extensive manufacturing know-how for enlightened enterprise systems. Our deep industry experience allows us to drastically reduce process time and effectively streamline business flows for any organization. Our world-class consultants enable organizations to realize the power of the integrated enterprise by providing superior consulting and implementation services. The Role: As Senior Data Engineer you will be responsible for Analysing archiving and reporting requirements, source and destination systems and their data models and designing data transformation, archiving, reporting and analytics solutions that meet the functional and non-functional requirements. You will work closely with Project Managers to deliver the program. Area of Responsibility Experienced Data Engineer with track record of creating large data tech solutions. Excellent understanding of the data tech solutions, specially Google Cloud. Data transformation and scripting experience. Sufficient programming knowledge to manage developer projects; for example, Python, JavaScript, SQL, etc. Working understanding of SQL Server 2008 & 2012. Developing software solutions. Familiar with industry data visualisation solutions. Knowledge / Experience Ability to present complex propositions in a simple manner. Able to articulate big ideas in plain language. Management of tech partners and experience at managing outsourcing / insourcing process. Experience working with internal/external dev teams and associated ways of working. Experience with multiple methodologies. Awareness of project management principles and experience of working with internal and external teams across multiple locations. Working knowledge of statistical techniques and predictive analytics also desirable. Excellent numerical and analytical skills Experience of statistical methodologies and data analysis techniques Ability to produce clear graphical representations and data visualisations. Knowledge of data analysis tools, for example, R Programming, Tableau Public, SAS, Apache Spark, Excel, RapidMiner Knowledge of data modelling, data cleansing, and data enrichment techniques An understanding of data protection issues Experience of working with Cloud based Data Analytics tools, example Google Cloud Platform and related data tools like DataFlow, DataPrep, DataProc Experience of SQL Server will be ab advantage If you are passionate about bringing innovation to the projects you work on and want to join a global company, then this is the place for you. Tata Technologies: Engineering a better world. Read More |
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