Senior Data Engineer – Full Stack

🔥 0 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

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DigiCert

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2003

🏥 Healthcare

📦 Logistics

💼 Consulting

Healthcare • Logistics • Consulting

DigiCert is a global leader in providing high-assurance digital security solutions. It offers a wide range of services including TLS/SSL certificates, PKI (Public Key Infrastructure), and IoT (Internet of Things) security solutions. DigiCert's suite of products and services includes certificate lifecycle management, secure signing for code and documents, and devices across various industries such as healthcare, transportation, and smart cities. The company is focused on ensuring digital trust with advanced encryption and identity verification technologies, preparing organizations for the challenges of the quantum era. DigiCert is trusted by the majority of the Global 2000 companies for managing their digital trust needs.

📋 Description

• Partner directly with business and technical stakeholders to understand workflows, define desired outcomes, and translate ambiguous needs into technical requirements and delivery plans. • Design, build, and maintain end-to-end data products on Databricks, spanning ingestion, Delta Lake storage, transformation, serving, APIs, and user-facing experiences. • Develop and operate reliable batch, incremental, and streaming pipelines using SQL, Python, PySpark, Kafka, and Databricks-native capabilities. • Design event-driven and near-real-time data solutions integrating operational systems and downstream consumers. • Build backend services, APIs, and integrations that make governed data available to applications and operational workflows. • Develop lightweight applications, dashboards, and interfaces with product, analytics, BI, and user-experience teams. • Rapidly prototype solutions, validate them through stakeholder feedback, and prepare successful concepts for production use. • Create scalable data models and curated datasets supporting analytics, reporting, AI/ML, and operational decision-making. • Implement data-quality, security, lineage, and governance controls using Databricks and Unity Catalog. • Establish automated testing, CI/CD, monitoring, alerting, and documentation across the data-product lifecycle. • Optimize pipelines, streaming workloads, queries, services, and applications for reliability, performance, scalability, and cost. • Diagnose and resolve issues across source systems, streaming platforms, pipelines, data models, APIs, applications, and downstream consumers. • Collaborate with platform and product engineering teams to turn recurring stakeholder needs into reusable capabilities. • Lead technical design and code reviews, mentor engineers, and elevate full-stack data-engineering practices.

🎯 Requirements

• 5+ years of experience in data engineering, software engineering, or a related role, including ownership of production data solutions. • Strong proficiency in SQL, Python, and PySpark, with experience building reliable, production-grade pipelines and data products. • Hands-on experience with Databricks, Apache Spark, Delta Lake, and Unity Catalog or comparable data-governance capabilities. • Experience designing and supporting streaming or near-real-time data pipelines using Kafka, Kinesis, Event Hubs, or similar event-streaming technologies. • Strong understanding of event-driven architecture, message processing, schema evolution, data consistency, and streaming reliability. • Experience delivering full-stack solutions that include data pipelines, backend services or APIs, and lightweight user-facing applications. • Experience building REST APIs, services, and integrations using Python frameworks such as FastAPI, Flask, or comparable technologies. • Experience with AWS, Azure, or GCP and cloud-native architecture patterns. • Strong understanding of data modeling, data warehousing, distributed processing, and analytics-friendly data design. • Experience with Git, automated testing, CI/CD, monitoring, and production-deployment practices. • Demonstrated ability to work directly with stakeholders, navigate ambiguity, and translate business problems into practical technical solutions. • Strong communication, technical leadership, problem-solving, and end-to-end ownership skills. • Ability to balance rapid delivery with maintainability, security, governance, and operational reliability. • Nice-to-have qualifications include React or another modern frontend framework; infrastructure as code, containerization, and automated cloud deployment; AI/ML pipelines, feature engineering, retrieval systems, or generative AI; data observability, platform engineering, or data-product management; JavaScript or TypeScript; forward-deployed engineering, solutions engineering, technical consulting, or stakeholder-embedded delivery; reusable data platforms; mentoring engineers; and Agile or Scrum experience.

🏖️ Benefits

• Generous time off policies • Top shelf benefits • Education, wellness and lifestyle support