{"id":53598,"url":"https://alion.io/job/resilinc-senior-data-engineer","title":"Senior Data Engineer","company":{"id":14915,"name":"Resilinc","domain":"resilinc.com","url":"https://alion.io/company/resilinc","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["India"],"countries":["IN"],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":43000,"period":"year","method":"role_seniority_country_cell","sample_n":64},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"ClickHouse","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-07-30T09:20:29Z","employer_posted_date":"2026-07-30","last_verified_at":"2026-10-17T03:37:11Z","board_verified":true,"closed_at":null,"days_open":78,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":78},"description":"At Resilinc, our mission is to make supply chains more resilient through visibility, AI-powered monitoring, and predictive analytics. Our platform is trusted by leading global enterprises to anticipate, assess, and respond to supply chain disruptions.\nWe are looking for a Senior Data Engineer who combines expertise in modern data platforms with strong customer engagement skills. This role operates at the intersection of Data Engineering, Product, Engineering, and Customer Success, partnering directly with enterprise customers to design, build, and scale data solutions that power business-critical applications and analytics.\nWhat You'll Do\nCustomer Engagement & Solution Ownership\nPartner directly with enterprise customers and business stakeholders to understand data challenges, define requirements, and deliver scalable solutions.\nOwn technical delivery for customer engagements from discovery and solution design through implementation and adoption.\nHelp customers maximize the value of Resilinc’s data and analytics capabilities through effective solution design and execution.\nPresent technical architectures, implementation plans, and business outcomes to both technical and executive audiences.\nData Platform & Pipeline Engineering\nDesign, build, and maintain scalable batch and real-time data pipelines and data products using Databricks, ClickHouse, Python, and distributed data processing frameworks.\nArchitect modern cloud-native data platforms leveraging Databricks, Delta Lake, Azure Data Services, and distributed processing technologies.\nDevelop robust ETL/ELT frameworks, data models, and data quality monitoring processes.\nOptimize data storage, query performance, scalability, reliability, and cost efficiency across large-scale datasets.\nBuild and maintain data products that enable analytics, reporting, operational workflows, and AI/ML applications.\nEngineering Leadership & Collaboration\nCollaborate closely with Product, Engineering, Solutions Consulting, and Customer Success teams to deliver customer outcomes.\nDrive best practices in data governance, security, observability, reliability, and operational excellence.\nContribute to architecture decisions, technical design reviews, and platform evolution.\nMentor junior engineers and contribute to engineering best practices.\nWhat You'll Bring\nCore Qualifications\nBE/MS in Computer Science, Information Technology, Engineering, or a related field.\n5+ years of experience in data engineering, data platform development, or related disciplines.\nStrong experience with Databricks, Apache Spark, Delta Lake, or similar distributed data processing technologies.\nExperience with cloud-based data platforms and services, including Azure (preferred) or equivalent cloud ecosystems.\nExperience designing and operating analytical data platforms using ClickHouse or similar high-performance analytical databases.\nAdvanced proficiency in Python and SQL, with strong software engineering fundamentals.\nExperience building scalable ETL/ELT pipelines, orchestration workflows, and modern data architectures.\nStrong understanding of data modeling, data warehousing, and analytics platform design.\nExperience implementing CI/CD, infrastructure automation, and DevOps practices for data platforms.\nExcellent communication and stakeholder management skills, with the ability to translate business requirements into technical solutions.\nAbility to navigate ambiguity, drive outcomes independently, and succeed in customer-facing environments.\nWhat Will Make You Stand Out\nExperience in a Forward Deployed Engineer (FDE), Solutions Engineer, Solutions Architect, Technical Consultant, or customer-facing engineering role.\nExperience working with Supply Chain, Logistics, Manufacturing, or Enterprise SaaS platforms.\nFamiliarity with data governance, lineage, metadata management, and data catalog solutions.\nExperience with Infrastructure as Code tools such as Terraform.\nExposure to AI/ML platforms, feature engineering pipelines, and data infrastructure supporting Generative AI applications.\nExperience designing and operating real-time data processing systems and streaming architectures.\nDemonstrated ability to mentor engineers and lead technical initiatives across 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