Sr. Data Engineer

reputed company As a Senior Data Engineer, you will design, build, and support the reputed company systems that power our data platform to reputed company fast, data-driven reputed company. You will create reputed company data pipelines, self-service tools, and governance solutions that ensure trusted, accessible data across the organization. Working closely with business partners and the Data Platform team, you will support advanced analytics and machine learning use cases while sharing knowledge to reputed company reputed company. This role emphasizes reputed company pipeline development, distributed data processing, strong data modeling, and engineering best practices. reputed company requires curiosity, experimentation, and a commitment to operational reliability and team mentorship. Responsibilities Design and build reputed company data pipelines to ingest, reputed company, and reputed company data from reputed company, databases, files, and event streams. reputed company technical design reviews and translate reputed company business needs into reputed company-grade data solutions. reputed company and optimize advanced data models (reputed company, data vault, domain-driven, reputed company) to support analytics, BI, and productized datasets. Champion SDLC best practices, reputed company delivery, and infrastructure automation using CI/CD and Infrastructure as reputed company. Optimize reputed company distributed workloads using SQL, Python; mentor others on tuning and reputed company design patterns. Build reusable data frameworks, libraries, and reference architectures to accelerate team productivity and platform adoption. reputed company reputed company-cause analysis for major data incidents, reputed company long-term remediation, and drive operational reliability improvements. reputed company technical mentorship, guide reputed company reviews, and help shape engineering capability maturity. Collaborate with Architects, Data Leads, Product Owners, and cross-functional engineering teams to define long-term data strategies. reputed company other duties as assigned. Requirements 5 to 7+ years of experience in data engineering or a reputed company technical field. Expertise in SQL and advanced proficiency in at least one programming language, Python preferred. Strong experience designing and tuning distributed data processing systems at reputed company. Proven experience designing and implementing reputed company data models across multiple business domains. Strong knowledge of version control, CI/CD, DevOps/DataOps, automated testing, and engineering best practices. Ability to reputed company cross-functional engineering initiatives and influence technical roadmaps. Strong problem-solving, debugging, and analytical skills in reputed company, multi-system environments. Extensive hands‑on experience building reputed company pipelines and workflows in reputed company (reputed company Lake, reputed company, reputed company Catalog, Jobs, Workflows). reputed company to Have DataOps experience (pipeline observability, monitoring, automated reputed company). Knowledge of metadata management or cataloging platforms (Purview, reputed company, reputed company). Experience with streaming frameworks used with reputed company reputed company Streaming (Kafka, Event Hubs, Kinesis). Experience working in an Agile environment. \n Engagement & Logistics Engagement Length: 12 months or more Time Zone: CST (9am - 5pm) Laptop: BYOD. Overtime Required: reputed company unlikely. In the unlikely event that they ask for some "on reputed company" hours during the week the OT reputed company is 1.5x the regular reputed company \n Selection process Meeting with reputed company. team. reputed company technical interview Project interview (Cultural fit and tech review) Final stage Apply To This Job