{"id":1492826,"url":"https://alion.io/job/epicor-sr-data-ops-developer","title":"Sr Data Ops Developer","company":{"id":179428,"name":"Epicor","domain":"epicor.com","url":"https://alion.io/company/epicor-software","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":29000,"max_usd":59000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":51},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"Azure","optional":false},{"name":"Azure SQL Database","optional":false},{"name":"Bicep","optional":false},{"name":"ChatGPT","optional":false},{"name":"CI/CD","optional":false},{"name":"Copilot","optional":false},{"name":"FastAPI","optional":false},{"name":"Git","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"OpenAI Codex","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-09-29T00:00:00Z","employer_posted_date":"2026-09-29","last_verified_at":"2026-10-01T15:20:03Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"What you will be doing:\nPerform all duties and maintain all standards in accordance with company policies, procedures, and internal controls such as SOX.\nDesign, implement, and maintain cloud-based data pipelines to enable efficient storage, processing, and analysis of large volumes of data.\nCollaborate with data engineers, and other stakeholders to understand requirements and translate them into scalable and reliable data platform architectures.\nEvaluate and select appropriate cloud infrastructure and services to support data storage, processing, and analytics needs, considering factors such as scalability, performance, extendibility, cost, and security.\nImplement data ingestion pipelines, integrating various, disparate data sources and ensuring data quality, integrity, and timeliness.\nDesign and optimize data storage solutions, including data lakes, data warehouses, and data marts, to support different types of data processing and analysis.\nImplement data processing and transformation workflows using technologies such as Azure Spark, Azure SQL Pools / data warehouses or other cloud-native data processing services.\nWhat you will likely bring:\n3+ years’ experience in data engineering, analytics engineering, DataOps, business intelligence engineering, or a related technical field.\nStrong SQL skills and experience working with data pipelines, data platforms, data warehouses, data lakes, or similar data environments.\nExperience gathering requirements from business stakeholders and explaining technical concepts clearly to technical and nontechnical audiences.\nStrong analytical, strategic-thinking, and creative problem-solving skills, with curiosity to identify trends, investigate details, and improve processes.\nExcellent written and verbal communication skills, with the ability to synthesize significant amounts of information and tailor it to the intended audience.\nWhat could set you apart:\nCloud & DevOps: Hands-on Azure development beyond data pipelines, including infrastructure-as-code (e.g., Bicep, Terraform, or ARM) and DevOps practices such as CI/CD, Git-based source control workflows, and automated deployment of data assets.\nAI-assisted development: Practical experience using AI coding assistants (e.g., ChatGPT, GitHub Copilot/Codex) to accelerate development, testing, and code review within a disciplined, version-controlled workflow.\nApplied AI / GenAI: Exposure to building AI-driven solutions - retrieval-augmented generation (RAG), agentic workflows, vector databases, and orchestration frameworks such as LangChain or LangGraph.\nLightweight application development: Ability to stand up simple internal applications or APIs (e.g., Python, FastAPI) to surface data and tooling to end users.\nAbout Epicor\nAt Epicor, we’retruly a team. Join 5,000talented professionals in creating a world of better business through data, AI, and cognitive ERP. We help businesses stay future-ready by connecting people, processes, and technology. From software engineers who command the latest AI technology to business development reps who help us seize new opportunities, the work we do matters. Together, Epicor employees are creating a more resilient global supply chain.\nWe’reProactive, Proud, Partners.\nWhatever your career journey, we’ll help you find the right path. Through our training courses, mentorship, and continuous support, you’ll get everything you need to thrive. At Epicor, your success is our success. And that success really matters, because we’re the essential partners for the world’s most essential businesses-the hardworking companies who make, move, and sell the things the world needs.\nCompetitive Pay & Benefits\nHealth and Wellness: Comprehensive health and wellness benefits designed to support your overall well-being.\n\nInternal Mobility: Opportunities for mentorship, continuing education, and focused career goal setting, with 25% of positions filled internally.\n\nCareer Development: Free LinkedIn Learning licenses for everyone, along with our Mentoring Program to boost your personal development.\n\nEducation Support: Geographically specific programs to balance the cost of education with the benefits of continued learning and personal development.\n\nInclusive Workplace: Collaborate with a diverse team in an inclusive, global workplace that fosters innovation and celebrates partnership.\n\nWork-Life Balance: Policies built on mutual trust and support, encouraging time off to rest, recharge, and reconnect.\n\nGlobal Mobility: Comprehensive support for international relocations and permanent residency processes.\n\nEqual Opportunities and Accommodations Statement\nEpicor is committed to creating a workplace and global community where inclusion is valued; where you bring the whole and real you-that’swho we’reinterested in. If you have interest in this or any role- but your experience doesn’tmatch every qualification of the job description, that’sokay- consider applying regardless.\nWe are an equal-opportunity employer.\nRecruiter:\nVidya Vardhni","description_format":"text","description_chars":5011,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["ERP & Business Management Software","Manufacturing & Industrial Software"],"lifecycle":[{"event":"open","at":"2026-09-30T01:11:22Z"}],"liveness":{"score":89,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.888,"p_room":1,"age_days":2,"expected_fill_days":13,"reasons":["conf:9","velocity","win:early"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/epicor-sr-data-ops-developer","json_url":"https://alion.io/job/epicor-sr-data-ops-developer.json","meta":{"generated_at":"2026-10-01T21:52:18Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":4446,"day_limit":5000,"remaining_today":554,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}