Senior Data Engineer

<h2></h2><h2>Job Description:</h2><p></p><p><span><span>The Fidelity ECS Software Engineering team is </span><span>seeking</span><span> a highly skilled Data Engineer to join our core datastore project. This role involves the analysis, data </span><span>modeling</span><span>, ETL, and ingestion of data along with the opportunity to analyse and draw key insights from collected data.  </span></span><span><span> </span></span><br/><span><span> </span></span><br/><span><span>The ideal candidate will have strong experience with SQL Managed Instances in Azure cloud, as well as a solid understanding of modern data engineering best practices and experience in Agile software delivery. </span></span><span><span> </span></span><br/><span><span> </span></span><br/><span><span>You will </span><span>be responsible for</span><span> designing, developing, and </span><span>maintaining</span><span> robust data pipelines and solutions for the provision of data and insights to critical applications across multiple areas of the organization. </span></span><span><span> </span></span><br/><span><span> </span></span><br/><span><span>Additionally, you will help define, implement, and advance data engineering practices, standards, and strategies, contributing to the progression of modern engineering practice across our platforms and teams.</span></span><span><span> </span></span><br/><span> </span></p><p></p><p><b><span>Key Responsibilities:</span></b><span> </span></p><ul><li><span><span>Design, develop, and </span><span>maintain</span><span> high-quality data pipelines and solutions for core applications.</span></span><span> </span></li><li><span><span>Perform comprehensive data analysis and </span><span>modeling</span><span> to support business requirements.</span></span><span> </span></li><li><span><span>Develop and maintain ETL processes for efficient data ingestion and transformation, experience with </span><span>SnapLogic</span><span> would be a plus.</span></span><span> </span></li><li><span><span>Ensure the performance, security, and scalability of data solutions.</span></span><span> </span></li><li><span><span>Collaborate with data scientists, analysts, and other stakeholders to define, design, and implement data solutions.</span></span><span> </span></li><li><span><span>Participate in code and design reviews to </span><span>maintain</span><span> high data engineering standards.</span></span><span> </span></li><li><span><span>Contribute to the continuous improvement of data engineering practices, standards, and strategies.</span></span><span> </span></li><li><span><span>Implement and </span><span>maintain</span><span> CI/CD pipelines to ensure smooth and efficient data ingestions and delivery.</span></span><span> </span></li><li><span><span>Work closely with product owners, technical leads, and architects to influence technical improvements.</span></span><span> </span></li></ul><p><span><span>.</span></span><span> </span></p><p></p><p><b><span>Required Expertise:</span></b><span> </span></p><ul><li><span><span>Passion for data </span><span>engineering</span><span> and </span><span>a </span><span>commitment to excellence.</span></span><span> </span></li><li><span><span>Degree in Computer Science, Data Engineering, Information Technology, or equivalent.</span></span><span> </span></li><li><span><span>Minimum of 5 years of enterprise data engineering experience</span><span> and advanced knowledge of data architecture and database technologies.</span></span><span> </span></li><li><span><span>Strong experience with</span><span> MS</span><span> SQL</span><span>, understanding of SQL MI</span><span> in Azure cloud</span><span> a plus.</span></span><span> </span></li><li><span><span>Proficiency</span><span> in data analysis, data modelling, and ETL processes.</span></span><span> </span></li><li><span><span>Familiarity with data warehousing concepts and technologies.</span></span><span> </span></li><li><span><span>Experience working in a CI/CD environment with tools like Git SCM, Jenkins, and Docker.</span></span><span> </span></li><li><span><span>Familiarity with Agile practices and experience delivering data solutions in an Agile environment.</span></span><span><span> </span></span></li></ul><p><span> </span></p><p><b><span>Skills and Attributes:</span></b><span> </span></p><ul><li><span><span>Excellent analytical, problem-solving, communication, and organizational skills.</span></span><span> </span></li><li><span><span>Ability to prioritize and manage multiple data-related tasks simultaneously.</span></span><span> </span></li><li><span><span>Strong team</span><span> player with a collaborative and positive attitude.</span></span><span> </span></li><li><span><span>Ability to work independently under general direction.</span></span><span> </span></li><li><span><span>Commitment to quality and adherence to data engineering best practices.</span></span><span><span> </span></span></li></ul><p></p><p><span> </span></p><p><b><span>Value