{"id":4271737,"url":"https://alion.io/job/societe-generale-specialist-software-engineer-bigdata","title":"Specialist Software Engineer - Bigdata","company":{"id":1760180,"name":"Société Générale","domain":"societegenerale.com","url":"https://alion.io/company/societegenerale-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career sitemap","truth_index":{"grade":"B","score":81,"open_postings":101,"ghost_share":0,"stale_share":0.95,"repost_share":0.01,"time_to_fill_p50_days":20,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"on_site","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":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Python","optional":false},{"name":"Windows","optional":false}],"status":"live","first_seen_at":"2026-11-13T18:01:44Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-13T18:01:44Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Responsibilities\n\n Tech Lead Data Engineering\nJob description:\n\nLead the architecture, design, and technical implementation of large‑scale Big Data platforms and data‑driven products.\nOwn and be accountable for all technical deliverables, ensuring high performance, scalability, reliability, and security of data solutions.\nDrive automation, optimization, and innovation across data ingestion, processing, storage, and analytics pipelines.\nMentor, coach, and guide Big Data engineers, fostering strong engineering practices and continuous learning.\nDefine and enforce coding standards, data engineering best practices, and architectural guidelines across the entire Big Data technology stack.\nActively contribute to code reviews, design discussions, and architecture reviews to improve team efficiency, quality, and system robustness.\nEnsure Big Data solutions are delivered in alignment with client expectations, business requirements, SLAs, and timelines.\nCollaborate closely with product owners, data scientists, analytics teams, and stakeholders to translate business needs into scalable data architectures.\nPromote a culture of innovation, encouraging experimentation with new Big Data technologies, cloud services, and emerging data engineering patterns.\nIdentify performance bottlenecks and lead efforts to optimize data pipelines, processing frameworks, and storage layers.\nEnsure adherence to data governance, security, and compliance standards across all Big Data solutions.\n\n Profile required\n\nProven experience working with Agile delivery methodologies, with the ability to adapt Big Data solutions to diverse project execution models.\nDemonstrated strong domain expertise and deep technical knowledge in Big Data engineering, data processing frameworks, and distributed systems.\nExcellent analytical, critical thinking, and problem‑solving skills, with the ability to handle complex data challenges at scale.\nHighly self‑driven with a proven track record of collaborating effectively across cross‑functional teams including product, analytics, data science, DevOps, and business stakeholders.\nStrong communication, negotiation, and presentation skills, enabling clear articulation of technical concepts to both technical and non‑technical audiences.\nHands‑on exposure to multiple Operating Systems (Linux/Unix/Windows) with proven expertise in scripting and automation (e.g., Shell, Python).\nAbility to think strategically and critically, with demonstrated experience in successfully designing and delivering large‑scale, global Big Data projects.\nCapable of driving technical decision‑making while balancing performance, scalability, cost, and maintainability.\n\nMinimum experience 7 Years","description_format":"text","description_chars":2702,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Continuous learning"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Commercial & Retail Banks","Investment Banking & M&A Advisory"],"lifecycle":[{"event":"open","at":"2026-11-13T18:01:44Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring 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