Excellence and Eminence LLP

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