{"id":3568835,"url":"https://alion.io/job/zs-senior-cloud-administrator-aws-data-engineer","title":"Senior Cloud Administrator (AWS Data Engineer)","company":{"id":6404,"name":"ZS","domain":"zs.com","url":"https://alion.io/company/zs","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"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":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":19500,"max_usd":42000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":75},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon S3","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Glue","optional":false},{"name":"CI/CD","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Hadoop","optional":false},{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Shuffle","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-31T10:30:31Z","employer_posted_date":null,"last_verified_at":"2026-10-31T10:30:31Z","board_verified":false,"closed_at":null,"days_open":4,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":4},"description":"ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you'll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client-first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage and passion to drive life-changing impact to ZS.\n\nWhat You'll Do : As a Senior Cloud Administrator at ZS you will combine strong data engineering skills with practical cloud infrastructure knowledge. The role is primarily responsible for designing, developing, supporting, and optimizing scalable data pipelines and distributed data-processing workloads. The successful candidate will work across Spark, Hadoop, SQL, Python and Linux, while supporting analytics services and the underlying AWS environment required to run them reliably, securely and cost-effectively. This is a hands-on role for a data engineer who can own complex transformations, tune jobs, troubleshoot production issues, automate recurring operational work, and collaborate with product, engineering, operations and architecture teams. The role also contributes to emerging AI-enabled data workflows through an understanding of Large Language Models, Amazon Bedrock, Agentic AI and Model Context Protocol (MCP).\n\nDesign, develop, maintain and support robust data pipelines that ingest, transform and deliver data for analytics, reporting, machine learning and AI use cases. \nWrite and review production-grade Python, PySpark and SQL for complex, high-volume data transformations. \nOptimize Spark and SQL workloads for performance, scalability and cost by analyzing execution plans, partitioning, skew, caching, memory pressure and I/O patterns. \nBuild reusable ingestion and transformation components, common utilities and automation frameworks that reduce manual intervention and improve delivery consistency. \nMonitor scheduled pipelines and distributed jobs, investigate failures, restore services, and improve observability, alerting, and operational runbooks.\nPerform hands-on troubleshooting across the data-processing layer and supporting cloud infrastructure, including Linux hosts, storage, access, networking and service configuration.\nConduct root cause analysis for recurring or high-impact incidents and implement long-term remediation to prevent recurrence. \nApply data-engineering standards for reliability, maintainability, data quality, security and governance throughout the development lifecycle. \nPartner with data producers, consumers, architects, product teams and cloud operations teams to translate requirements into practical technical solutions.\nContribute to technical design reviews, code reviews, release validation, capacity planning and productionreadiness assessments. \nSupport proofs of concept involving LLMs, Amazon Bedrock, Agentic AI and MCP-based integrations where they intersect with enterprise data platforms. \nWork with AWS or other technology vendors and subject matter experts for advanced troubleshooting when required.\n\nWhat You'll Bring:\n4+ years of hands-on experience in data engineering, including Apache Spark, Hadoop ecosystems and Data Warehousing.\nStrong expertise in designing, building, testing, and supporting scalable batch or ETL/ELT data pipelines.\nHands-on expertise in Spark or PySpark development, including distributed processing concepts and job optimization.\nAdvanced SQL skills, including complex joins, window functions, aggregations, query tuning and data validation.\nStrong Python skills for data processing, reusable frameworks, automation and operational tooling.\nIn-depth hands-on experience with Linux, shell utilities, logs, processes, file systems and troubleshooting.\nProven ability to implement complex data transformations, including cleansing, deduplication, enrichment, aggregation and slowly changing dimension patterns.\nSound understanding of data warehousing, data lakes, partitioning, file formats, schema evolution and data quality controls.\nExperience diagnosing and optimizing pipeline performance, including parallelism, partition sizing, data skew, memory usage, shuffle behavior and inefficient SQL patterns.\nAbility to troubleshoot complex production issues, perform root cause analysis and implement sustainable corrective actions.\nUnderstanding of cloud infrastructure fundamentals relevant to analytics workloads, including compute, storage, identity and access, networking, monitoring and cost management.\nUnderstanding of Large Language Models, Amazon Bedrock, Agentic AI patterns and Model Context Protocol (MCP) concepts.\nAbility to collaborate with cross-functional and globally distributed teams and communicate technical findings clearly to stakeholders.\nHands-on experience with AWS analytics services such as Amazon EMR, AWS Glue, Amazon Athena, Amazon SageMaker, etc.\nExperience with Amazon S3-based data lakes and related security, cataloging, partitioning and performance\nconsiderations.\nExposure to workflow orchestration or scheduling tools and CI/CD practices for data pipelines.\nFamiliarity with infrastructure-as-code or cloud automation tools used to provision and manage analytics\nenvironments.\nKnowledge of streaming data, open table formats, data governance, or metadata and catalog solutions.\nExperience supporting secure, regulated or mission-critical analytics platforms.\nAssociate-level or higher AWS certification, or relevant data engineering certification\nFluency in English\nClient-first mentality\nIntense work ethic\nCollaborative spirit and problem-solving approach\n\nHow you'll grow:\nCross-functional skills development & custom learning pathways\nMilestone training programs aligned to career progression opportunities\nInternal mobility paths that empower growth via s-curves, individual contribution and role expansions\n\nPerks & Benefits:\nAt ZS, your growth matters. We offer a comprehensive total rewards package that supports your health and well‑being, financial future, time away, and professional development. With robust skills‑building programs, multiple career progression paths, internal mobility, and a deeply collaborative culture, you'll have the opportunity to do meaningful work, expand your capabilities, and thrive as part of a global community. For details on total rewards in , visit . \n\nHybrid working model:\nWe are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.\n\nTravel:\nTravel is a requirement at ZS for client facing ZSers business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures.\n\nConsidering applying\nAt ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems-the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are integral to your success here. We are committed to building a team that reflects a broad variety of backgrounds, perspectives, and experiences. about our inclusion and belonging efforts and the networks ZS supports to assist our ZSers in cultivating community spaces and obtaining the resources they need to thrive.\n\nIf you're eager to grow, contribute, and bring your unique self to our work, we encourage you to apply.\n\nZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law.\n\nTo complete your application:\nCandidates must possess or be able to obtain work authorization for their intended country of employment. An on-line application, including a full set of transcripts (official or unofficial), is required to be considered.\n\nNO AGENCY CALLS, PLEASE.\n\nFind Out More At:","description_format":"text","description_chars":8676,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Hybrid work","Professional development"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Management Consulting","Career Services"],"lifecycle":[{"event":"open","at":"2026-10-31T14:09:45Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":3,"expected_fill_days":27,"reasons":["seen:3","velocity","win:early"],"computed_at":"2026-11-04T06:34:25Z"},"pay":null,"html_url":"https://alion.io/job/zs-senior-cloud-administrator-aws-data-engineer","json_url":"https://alion.io/job/zs-senior-cloud-administrator-aws-data-engineer.json","meta":{"generated_at":"2026-11-04T12:14:19Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":18399,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-05T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":6404},"rest":"https://alion.io/mcp/rest/get_company?id=6404"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fzs-senior-cloud-administrator-aws-data-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fzs-senior-cloud-administrator-aws-data-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fzs-senior-cloud-administrator-aws-data-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/zs-senior-cloud-administrator-aws-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fzs-senior-cloud-administrator-aws-data-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3568835}},{"tool":"search_jobs","arguments":{"company":"zs.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3568835},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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