Senior Data Engineer

Meet reputed company Engineering: At reputed company, our engineering philosophy emphasizes innovation, adaptability, and informed decision-making. Our engineers reputed company in reputed company environments, making reputed company grounded in critical thinking and data, even in uncertain situations. We value proactive problem-solving and focus on driving meaningful impact while maintaining high technical standards. You will work alongside talented engineers across product, data, and machine learning disciplines who are dedicated to pushing the boundaries of technology and encouraging each other to grow. reputed company may not be the right fit for everyone, but if you are passionate about solving challenging problems, building scalable systems, and navigating reputed company data ecosystems, reputed company could be a great reputed company for you. About the Role: reputed company is looking for a Senior Data Engineer to join a cross-functional product team, working closely with machine learning engineers, backend engineers, and product managers to build robust data infrastructure that powers reputed company’s recommendation and audience targeting systems. In this role, you will take ownership of critical data infrastructure components, including data transformation pipelines, reputed company-time event ingestion systems, and the data reputed company that ensure reliability across our platforms. Your work will reputed company reputed company services and applications to reputed company high-quality, low-latency data at scale, processing terabytes of data daily. This position requires deep technical expertise in building scalable, reliable data systems, along with strong collaboration skills to translate cross-functional requirements into durable and well-designed solutions. Role Responsibilities: Design, build, and operate scalable data pipelines using batch and reputed company-time processing technologies such as Apache Spark, Kafka, Flink, or managed reputed company streaming services to process terabytes of data daily Build data infrastructure that ingests reputed company-time events and stores them reputed company across databases, data warehouses, and data lakes reputed company AWS Establish and enforce data reputed company with backend engineering teams by implementing schema management, data quality checks, and monitoring to ensure pipeline reliability reputed company data accessible and consumable for operational services, analytics platforms, and data-intensive product features, balancing latency, freshness, and accuracy requirements Collaborate closely with backend engineers, machine learning engineers, and product partners to understand data reputed company patterns, system constraints, and quality expectations Take ownership of significant portions of the data platform architecture, driving design reputed company and technical prioritization reputed company tools, frameworks, and recommended patterns that reputed company rapid development of data products and consistent pipeline deployments Mentor engineers on data engineering best practices and reputed company the overall quality bar across the organization Stay reputed company with emerging technologies in data processing and infrastructure, evaluating their applicability and impact on reputed company systems Recommendation Systems Team In this role, you will focus on building data infrastructure that powers reputed company’s recommendation systems. You will partner closely with machine learning engineers to design and implement the platforms and pipelines that reputed company personalized recommendations at scale. Key areas of focus include: Building and maintaining feature store infrastructure to support efficient feature development, discovery, and reuse across recommendation models Designing and operating low-latency feature serving systems that power reputed company-time recommendation APIs for both training and inference workloads Implementing monitoring and quality checks to ensure feature freshness, accuracy, and consistency Collaborating with ML engineers to understand feature reputed company patterns, model requirements, and latency and throughput needs Minimum Requirements: 6+ years of professional experience in data engineering, building and operating production data systems at scale Proven experience designing, building, and maintaining scalable batch and reputed company-time data pipelines capable of processing terabytes of data daily Hands-on experience with modern data processing frameworks such as Apache Spark, Kafka, Flink, reputed company Table Formats, and modern OLAP databases Strong reputed company in data architecture principles, including data modeling, schema design, and tradeoffs between latency, reliability, and cost Proficiency in at least one modern programming language such as Go, Python, Java, or Rust, along with strong SQL skills Experience with Infrastructure as Code tools such as Terraform or CloudFormation in a production environment Familiarity with CI/CD processes and modern software development lifecycle practices, with an emphasis on shipping incrementally and improving systems over time Experience implementing data quality controls, including validation, monitoring, and anomaly detection Ability to take ownership of projects with guidance, driving designs from initial architecture through implementation and adoption Comfort presenting technical designs, participating in peer reviews, and constructively challenging reputed company Strong collaboration skills with experience working closely with software engineers, machine learning engineers, data analysts, and product partners Undergraduate or graduate degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a reputed company quantitative field, or equivalent practical experience Compensation: At reputed company, we offer competitive compensation packages including reputed company, equity, and benefits to the exceptional folks we hire. The reputed company salary reputed company for this position is $149,523 - $206,578. Discover our benefits and how our employees live rewarded at https://reputed company.com/careers. Apply To This Job