FBS Sr Data Engineer (SQL, Informatica)

<h3>Accountabilities</h3><li>
<strong>Data Engineering and Pipeline Development:</strong>Design, develop, and maintain scalable data pipelines for batch and streaming workloads, supporting both on-premises infrastructure and cloud environments.</li><li>
<strong>SQL and Informatica Solutions:</strong>Build and optimize data integration workflows, transformations, and data processing solutions using SQL, Informatica, and other relevant technologies to meet business requirements.</li><li>
<strong>Data Modeling and Architecture:</strong>Develop advanced data models, reusable data components, and data flows to support dimensional modeling, reporting, dashboard development, data feeds, and data science initiatives.</li><li>
<strong>Business Requirements Translation:</strong>Collaborate with business and technical stakeholders to understand analytical needs, translate requirements into technical specifications, estimate workloads, and break down deliverables into manageable tasks and sprint plans.</li><li>
<strong>Data Integration and API Development:</strong>Build and enhance API integrations to support increasing data volumes, greater complexity, and connectivity across enterprise systems and platforms.</li><li>
<strong>Data Quality and Transformation:</strong>Prepare, cleanse, validate, and transform structured and unstructured data to ensure accuracy, consistency, and readiness for downstream analytics, reporting, and AI/ML applications.</li><li>
<strong>Data Governance and Compliance:</strong>Apply data governance principles, established architectural standards, and code management practices to maintain secure, consistent, and well-managed data assets.</li><li>
<strong>Reporting and Analytics Enablement:</strong>Deliver reliable datasets and access methods that support business users, reporting and visualization specialists, and data scientists in producing actionable insights.</li><li>
<strong>Project Planning and Delivery:</strong>Independently manage data engineering projects of varying complexity, coordinate dependencies across teams, develop project plans, and deliver solutions within agreed timelines.</li><li>
<strong>Technical Collaboration and Mentoring:</strong>Work with cross-functional teams to resolve technical challenges, contribute to architectural decisions, and provide guidance and support to junior associates when needed.</li><li>
<strong>Continuous Improvement:</strong>Identify opportunities to improve pipeline performance, data reliability, integration processes, and the overall efficiency of data engineering practices.</li><h2>Requirements</h2><li>
<strong>Professional Experience:</strong>Significant experience in data engineering or a related technical field, with the ability to independently deliver moderately complex to advanced data solutions.</li><li>
<strong>SQL Expertise:</strong>Strong SQL skills, including writing and optimizing complex queries, transforming data, validating results, and troubleshooting data-related issues.</li><li>
<strong>Informatica Experience:</strong>Hands-on experience with Informatica data integration and ETL/ELT workflows, including developing, maintaining, and optimizing data pipelines.</li><li>
<strong>Data Pipeline Development:</strong>Experience building and maintaining scalable data pipelines for batch and streaming workloads across on-premises and cloud environments.</li><li>
<strong>Data Modeling and Integration:</strong>Strong understanding of data modeling, data architecture, dimensional data, data mapping, API integrations, and structured and unstructured data processing.</li><li>
<strong>Cloud and Database Technologies:</strong>Experience working with relational and non-relational databases, cloud platforms, and modern data engineering technologies.</li><li>
<strong>Data Quality and Governance:</strong>Knowledge of data cleansing, validation, data governance principles, architectural standards, and best practices for maintaining reliable data assets.</li><li>
<strong>Analytics and Reporting:</strong>Familiarity with reporting, visualization, dashboard development, and preparing data for advanced analytics or AI/ML applications.</li><li>
<strong>Programming and Technical Problem-Solving:</strong>Ability to work with relevant programming languages and data processing techniques to develop robust, maintainable technical solutions.</li><li>
<strong>Project Management and Agile Delivery:</strong>Experience translating business requirements into technical tasks, estimating effort, managing dependencies, and delivering work through structured project plans or Agile sprints.</li><li>
<strong>Communication and Collaboration:</strong>Strong communication skills and the ability to work effectively with business stakeholders, data professionals, and technical teams across different functions.</li><li>
<strong>Autonomy and Leadership:</strong>Ability to manage complex assignments independently, exercise sound technical judgment, and provide coaching or assistance to less experienced colleagues.</li><li>
<strong>Adaptability:</strong>Comfortable working on projects with evolving requirements, multiple dependencies, and timelines that may require proactive planning and coordination.</li><h2>Benefits</h2><li>
<strong>Competitive Compensation:</strong>Salary package aligned with experience, qualifications, and role responsibilities.</li><li>
<strong>Performance-Based Bonuses:</strong>Opportunities to receive additional compensation based on performance.</li><li>
<strong>Comprehensive Benefits Package:</strong>Access to a range of employee benefits.</li><li>
<strong>Private Health Insurance:</strong>Healthcare coverage as part of the benefits package.</li><li>
<strong>Paid Time Off:</strong>Time away from work to support personal well-being and work-life balance.</li><li>
<strong>Flexible Work Arrangements:</strong>Remote and/or office-based options, depending on business requirements.</li><li>
<strong>Training and Development:</strong>Opportunities to strengthen technical expertise and develop new skills through learning initiatives and partnerships with recognized organizations.</li><li>
<strong>Global Work Environment:</strong>Collaboration with international teams in a diverse, inclusive, and multicultural setting.</li><li>
<strong>Career Growth:</strong>Opportunities to expand your technical responsibilities, contribute to complex data initiatives, and develop leadership and mentoring skills.</li><li>
<strong>Innovative Projects:</strong>Exposure to enterprise data engineering, analytics, cloud technologies, and evolving data practices.</li>