Job Description

We are looking for Data Engineer with 6-10 years of Experience for our esteemed client for Bangalore Location Key Skills: PostgreSQL, AWS/Azure, Python, This is an immediate requirement. Please apply if you can join within 20 days or close to 20 days Roles and Responsibilities: Systematic analysis the data contained within GT data management systems, acquiring and building a deep knowledge of the data sets and processes thank to a consistent interaction with Subject-Matter Experts Translate the acquired knowledge into the appropriate staging and long-term data storage architecture. Iteratively develop, produce, expand, maintain and validate an overall Ontology based on the relevant data-sets available in the business. Define system to system data flow requirements, frequency, and validation Support the current and future Digital transformation project as SME in Data management Lead the work-streams to support the integration and standardisation of the data that feeds the Algorithm As A Service (AAAS) layer Populate the Knowledge Graph based on the Ontology and build the required data pipeline to ensure a consistent and automatic data upload Document and track the changes to the Ontology and Data Pipelines. Analytical support of ad-hoc request and data aspects of the Systems migration projects: Develop and design Cloud based data architectures as required by the current and future projects Lead the development of new data supply chains; devise methods of collection and systematisation of data Define rules for the monitoring of successful system to system data delivery and sync Define rules for monitoring the health of databases and knowledge graph Define rules and processes for automated data transfer and validation Generate database integrity and quality reports Required Skills, Qualifications (Technical Competency): An Engineering degree with vast data engineering experience As a minimum: A Bachelor\'s degree in Engineering, Reliability, Data Analysis, Mathematics or related science disciplines. Must demonstrate a practical experience in the field of data engineering: Demonstrable experience with Knowledge Graph, Ontology (Prot g + FluidOps), SQL, PostgreSQL is required. Knowledge of Cloud Platforms (AWS/Azure) is required. Knowledge of System-to-system integration tools (EG: SnapLogic) will be an advantage. Knowledge of a data driven programming language (Python or R) is a plus. Advanced knowledge of MS Excel and MS PowerPoint Knowledge and experience with statistical analysis of data. Experience in the repair and overhaul, fleet data management, and Oil & Gas sector are a plus. Familiarity with and experience in applying Lean methodology (e.g. Lean Six Sigma) will be an advantage. Genuine interest in data, information, emerging digital trends and their impact on the society and business development. Proactive, well-organised and result-oriented approach combined with an ability to communicate clearly and efficiently, both in writing and verbally. Ability to act independently, proactively and take ownership for the delivery. Customer-focused approach. Ability to build productive relationships with others and to build rapport with colleagues and internal customers to improve results Broad outlook combined with analytical mind-set: ability to make logical connections and understand the big picture quickly, as well as having a critical eye for data-driven improvements

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