{"id":1215505,"url":"https://alion.io/job/nice-specialist-software-engineer-2","title":"Specialist Software Engineer","company":{"id":6234,"name":"NICE","domain":"nice.com","url":"https://alion.io/company/nice","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":83,"open_postings":22,"ghost_share":0,"stale_share":0.455,"repost_share":0.045,"time_to_fill_p50_days":60,"computed_at":"2026-09-27T05:45:00Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":null,"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":26000,"max_usd":54000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":21},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Snowflake","optional":false},{"name":"AI Agents","optional":true},{"name":"Amazon CloudWatch","optional":true},{"name":"Amazon EC2","optional":true},{"name":"Amazon S3","optional":true},{"name":"Apache Kafka","optional":true},{"name":"AWS Lambda","optional":true},{"name":"Cortex","optional":true},{"name":"ETL/ELT","optional":true},{"name":"Flink","optional":true},{"name":"Git","optional":true},{"name":"IAM","optional":true},{"name":"Java","optional":true},{"name":"Prometheus","optional":true},{"name":"Python","optional":true},{"name":"Scala","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-09-24T12:09:32Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-09-28T02:41:36Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.\nSo, What's the Role All About?\nWe are looking for a highly skilled Specialist Data Engineer with strong expertise in Snowflake, AWS, Data Warehousing, and Data Lake technologies. In this role, you will design and build scalable data solutions, analyze complex data environments, troubleshoot production issues, and drive data engineering best practices across cloud-based platforms. \nThe ideal candidate combines deep technical knowledge with strong analytical and problem-solving skills, enabling them to understand customer challenges, investigate data flows, identify root causes, and deliver scalable solutions. Exposure to real-time data processing, automation, CI/CD, and AI-driven engineering practices is highly desirable. \nHow Will You Make an Impact?\nDesign, develop, and maintain scalable data pipelines and data solutions utilizing Snowflake. \nBuild and support Data Warehouse and Data Lake architectures, including data modeling, transformation, and integration. \nUnderstand end-to-end data lineage, dependencies, transformations, and relationships across platforms. \nInvestigate customer-reported and production data issues, perform root cause analysis, and drive timely resolution. \nDevelop and troubleshoot cloud-native data solutions across AWS and Snowflake environments. \nWork with real-time data streaming technologies such as Kafka and Flink. \nImplement software engineering best practices including CI/CD, source control, automated testing, and deployments. \nIdentify opportunities for automation and improve operational efficiency through reusable frameworks and utilities. \nLeverage Generative AI and Agentic AI capabilities to enhance data engineering workflows, troubleshooting, and productivity. \nContribute to the scalability, reliability, monitoring, and performance optimization of data platforms. \nHave You Got What It Takes?\nRequired Qualifications\nBachelor's degree in Computer Science, Engineering, Information Systems, or a related field.\n8 to 12 years of experience in Data Engineering. \nStrong hands-on experience with Snowflake. This is a critical requirement for the role. \nExpertise in SQL, ETL/ELT processes, Data Warehousing, Data Modeling, and Data Lake concepts. \nStrong hands-on experience with AWS services including S3, IAM, EC2, Lambda, CloudWatch, and SQS/SNS. \nExperience integrating Snowflake with AWS-based data ecosystems and Data Lakes. \nExperience working with large-scale data platforms and complex datasets. \nStrong troubleshooting and analytical skills with the ability to independently investigate data issues. \nExperience with Kafka, Flink, or similar stream-processing technologies. \nExperience with Git, CI/CD pipelines, automated deployments, and modern software engineering practices. \nProficiency in Python, Java, or Scala. \nUnderstanding of cloud-native architecture, scalability, monitoring, reliability, and performance optimization. \nPreferred Qualifications\nExposure to Generative AI and Agentic AI concepts and practical applications. \nExperience with Snowflake Cortex or similar AI-enabled data platforms. \nDemonstrated experience implementing automation solutions to improve engineering productivity and operational efficiency. \nYou Will Have an Advantage If You Also Have\nStrong customer-centric problem-solving capabilities.\nAbility to trace and analyze data across multiple systems and layers.\nExperience building reusable frameworks, utilities, and engineering accelerators.\nStrong ownership mindset with a focus on continuous improvement and innovation. \nWhat's In It For You?\nOpportunity to work on large-scale cloud and data platforms.\nExposure to modern data engineering technologies, AI-driven solutions, and real-time processing frameworks.\nAbility to influence architecture, automation, and engineering best practices.\nCollaborative and innovation-focused work environment.\nEnjoy NICE-FLEX!\nAt NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.\nRequisition ID: 11781\nReporting into: Tech Manager\nRole Type: Individual Contributor\n About NiCE\nNICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. \nKnown as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. \nNiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.","description_format":"text","description_chars":5478,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Professional Services","AI Agents","Call Center Services"],"lifecycle":[{"event":"open","at":"2026-09-25T08:19:10Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":2,"expected_fill_days":60,"reasons":["conf:0","velocity","win:early","comp:brand"],"computed_at":"2026-09-27T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/nice-specialist-software-engineer-2","json_url":"https://alion.io/job/nice-specialist-software-engineer-2.json","meta":{"generated_at":"2026-09-28T04:30:12Z","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":2734,"day_limit":5000,"remaining_today":2266,"minute_limit":60,"resets_at":"2026-09-29T00:00:00Z"}}}