Data Engineer

We are seeking a Senior Data Engineer / Data Analytics Lead to design, develop, and implement data-driven solutions that power business insights and strategic decision-making. In this role, you will support Marketplace Coverage Correction Factors (MCCF) product — a data science platform that estimates total marketplace sales where direct retailer POS data is unavailable. This is a high-impact opportunity to shape global data ecosystem and drive smarter, faster business decisions. Key Responsibilities: Data Architecture & Engineering • Design, build, and optimize data pipelines to consolidate and transform large-scale structured and unstructured data. • Develop automated processes and algorithms for high-volume data integration and evaluation. • Build scalable data products to deliver actionable insights across analytics and product teams. Analytics & Insights • Partner with cross-functional teams to define analytical requirements and translate complex data into clear insights. • Develop and optimize SQL queries, dashboards, and data visualizations for reporting and analysis. • Apply data mining, predictive analytics, and statistical modeling to uncover key business trends. Governance & Quality • Maintain data governance standards, documentation, and data dictionaries. • Monitor data quality, detect anomalies, and resolve inconsistencies. • Implement best practices for data validation, unit testing, and integration testing. Process Optimization & Innovation • Automate and enhance existing workflows using modern data engineering tools and frameworks. • Evaluate emerging technologies for scalable, high-performance data processing. • Drive innovation by building advanced analytics solutions that enhance decision-making. Mandatory Skills & Qualifications: • Bachelor’s degree (or equivalent experience) in Computer Science, Data Engineering, or related field. • 10+ years of experience in data engineering, analytics, or large-scale data systems. • Expert-level proficiency in SQL — advanced query optimization and validation. • Proficiency in Python for data manipulation, automation, and analytics workflows. • Hands-on experience with Apache Spark for distributed data processing. • Strong working knowledge of AWS (data architecture, deployment, and integration). • Experience with Databricks for managing end-to-end analytics pipelines. • Proven ability to manage large, complex data environments with accuracy and scalability. • Excellent problem-solving, analytical, and communication skills. • Ability to work independently in a fast-paced, cross-functional environment. Preferred Skills: • Experience in data governance frameworks and KPI tracking. • Exposure to machine learning or predictive analytics. • Prior experience in retail, e-commerce, or global enterprise data systems. About BrickRed Systems: BrickRed Systems is a global leader in next-generation technology, consulting, and business process service companies. We enable clients to navigate their digital transformation. BrickRed Systems delivers a range of consulting services to our clients across multiple industries around the world. Our practices employ highly skilled and experienced individuals with a client-centric passion for innovation and delivery excellence. With ISO 27001 and ISO 9001 certification and over a decade of experience in managing the systems and workings of global enterprises, we harness the power of cognitive computing hyper-automation, robotics, cloud, analytics, and emerging technologies to help our clients adapt to the digital world and make them successful. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.