{"id":1227357,"url":"https://alion.io/job/careernet-full-stack-data-platform-engineer","title":"Full Stack Data Platform Engineer","company":{"id":3800179,"name":"Careernet","domain":"careernet.in","url":"https://alion.io/company/careernet-2","size_band":"11-50","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":23000,"max_usd":47000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":9},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Kubernetes","optional":false},{"name":"Power BI","optional":false},{"name":"Snowflake","optional":false}],"status":"live","first_seen_at":"2026-09-24T11:54:46Z","employer_posted_date":null,"last_verified_at":"2026-09-24T11:54:46Z","board_verified":false,"closed_at":null,"days_open":3,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":3},"description":"Role Overview : \n\nWe are seeking a seasoned Full Stack Data Platform Engineer to lead the design, development, and scaling of our next-generation data ecosystem in Gurugram. In this role, you will bridge the gap between complex data engineering pipelines and intuitive full-stack applications, ensuring our stakeholders have seamless access to actionable insights. \n\nYou will collaborate closely with cross-functional product teams, data scientists, and business leaders to architect robust platforms that drive strategic decision-making. By leveraging cloud-native technologies and modern DevOps practices, you will directly influence the efficiency of our data operations and the quality of intelligence delivered to our global customer base.\n\nKey Responsibilities : \n\n- Architect and maintain scalable data platforms on AWS and Azure to ensure high availability and performance for enterprise-level data processing.\n\n- Develop and optimize end-to-end data pipelines using Snowflake to transform raw data into high-value assets for business intelligence and reporting.\n\n- Containerize and orchestrate platform components using Docker and Kubernetes to ensure consistent deployment cycles and environment stability.\n\n- Design and implement interactive dashboards and data visualization tools using Power BI to empower stakeholders with real-time business insights.\n\n- Automate CI/CD workflows using Azure DevOps to accelerate the delivery of features and maintain rigorous code quality standards across the stack.\n\n- Mentor junior engineers and foster a culture of technical excellence through code reviews, architectural design sessions, and best-practice sharing.\n\nRequired Skillset : \n\n- Demonstrated expertise in building full-stack applications with a deep focus on data-intensive backend systems and cloud infrastructure.\n\n- Proven ability to manage complex data ecosystems within Snowflake, including performance tuning, schema design, and cost optimization.\n\n- Strong proficiency in containerization strategies and orchestration, specifically utilizing Docker and Kubernetes in production environments.\n\n- Advanced capability in designing intuitive data visualization solutions in Power BI that translate complex datasets into clear business narratives.\n\n- Exceptional communication skills with the ability to articulate technical architectural decisions to non-technical stakeholders and executive leadership.\n\n- A minimum of 8 - 10 years of professional experience in data engineering or full-stack development, preferably within high-growth technology environments.\n\n- A collaborative mindset with the adaptability to thrive in a hybrid work environment, maintaining high productivity and team cohesion.\n\n- A degree in Computer Science, Information Technology, or a related quantitative field from a premier institute is highly preferred.\n\nSkills\nAWS, Azure, Snowflake DB, Data Pipeline, Data Management, Full Stack, Data Infrastructure, Data Intelligence","description_format":"text","description_chars":2967,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Hybrid work"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-25T13:06:44Z"}],"liveness":{"score":54,"band":"ok","label":"Likely open","p_open":1,"p_active":0.542,"p_room":1,"age_days":2,"expected_fill_days":31,"reasons":["seen:2","agency","velocity","win:early"],"computed_at":"2026-09-27T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/careernet-full-stack-data-platform-engineer","json_url":"https://alion.io/job/careernet-full-stack-data-platform-engineer.json","meta":{"generated_at":"2026-09-28T00:38:30Z","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":189,"day_limit":5000,"remaining_today":4811,"minute_limit":60,"resets_at":"2026-09-29T00:00:00Z"}}}