Data Engineer

Hi,Hope you're doing well.I’m Sachin from Delta System Inc. I found your profile relevant for an opportunity I’m hiring for following role, would you be open to a quick chat. Role: Data EngineerLocation: Dallas TX OnsiteDuration: PermanentType: FTESummaryLead the design, development, and optimization of large‑scale, secure, and high‑performance data pipelines across batch, real‑time, and event-driven systems. Partner with cross-functional teams to deliver analytics, reporting, and ML‑ready datasets.Key ResponsibilitiesArchitect, build, and optimize batch and real‑time data pipelines for enterprise-scale systemsIntegrate datasets from databases, files, APIs, and event streams (Kafka/Kinesis)Ensure data quality, scalability, reliability, and performance across pipelinesPrepare curated datasets for analytics, reporting, and ML modelsImplement data security (access control, encryption, masking) and governance practicesMonitor, troubleshoot, and tune data infrastructure for optimal efficiencyCollaborate closely with data scientists, architects, and business teams to define data solutionsIntroduce best practices, mentor engineers, and drive data engineering standardsMandatory Skills (with Experience)Data Engineering (Overall): 8–12 yearsPython / Java / Spark: 6–10 years (strong coding)SQL & NoSQL Databases: 6–10 years(RDS, Redshift, DynamoDB, Synapse, BigQuery, MongoDB)Batch & Streaming Systems: 5–8 years (Kafka/Kinesis/event‑driven systems)Cloud Experience: 5–8 years across AWS, Azure, GCP (minimum two clouds)APIs & Messaging Systems: 4–6 years (REST, event‑driven architectures)Large‑scale Dataset Engineering: 5–8 years (performance optimization)Graph Databases: 1–2 years (Neptune, RDF4j)Vector Databases: 1–2 years (Pinecone, FAISS)Data Security: 3–5 years (encryption, access control, masking)Soft SkillsStrong problem‑solving & analytical thinkingExcellent communication across technical & business teamsHigh ownership, adaptability, and collaborative mindsetNice to HaveDomain knowledge: Insurance, Banking, MortgageContainers & CI/CD: Docker, KubernetesStreaming tools: Kafka, Kinesis (advanced usage)Exposure to NLP and data segmentationExperience with data visualization tools