{"id":1280240,"url":"https://alion.io/job/synergy-maritime-lead-data-engineer","title":"Lead Data Engineer","company":{"id":3809939,"name":"Synergy Maritime","domain":"synergyship.com","url":"https://alion.io/company/synergy-maritime","size_band":null,"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":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chennai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":27000,"max_usd":47000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":16},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude Code","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Machine Learning","optional":false},{"name":"MS SQL","optional":false},{"name":"OCR","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Scrum","optional":false},{"name":"SQL","optional":false},{"name":"Azure DevOps","optional":true},{"name":"GitHub Actions","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-08-20T04:32:19Z","employer_posted_date":null,"last_verified_at":"2026-08-20T04:32:19Z","board_verified":false,"closed_at":null,"days_open":58,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":58},"description":"Role: Lead Data Engineer\n\nLocation: Chennai (Work from Office)\n\nExperience: 8 - 12 years\n\nAbout the Role:\n\nWe are looking for an experienced Lead Data Engineer to drive the design, development, and management of our data infrastructure while leading a team of 4 engineers. This role combines strong hands-on technical expertise with people management and delivery ownership and requires someone comfortable using modern AI-assisted (\"vibe coding\") tools to rapidly build and ship data products, while maintaining the infrastructure that powers them.\n\nKey Responsibilities:\n\nTechnical Leadership & Development:\n\n- Architect, build, and optimize scalable data pipelines using Databricks, PySpark, and Python.\n\n- Write and review complex SQL queries for data transformation, validation, and performance tuning.\n\n- Design and maintain data models and ETL/ELT workflows across Databricks environments.\n\n- Support or lead development of ML models/pipelines for data products (feature engineering, model training, deployment, and monitoring).\n\n- Build data product applications using AI-assisted \"vibe coding\" tools (Claude Code, Cursor, or similar) to rapidly prototype, develop, and ship internal tools, dashboards, and data-driven applications.\n\n- Establish and enforce best practices for code quality, version control, and CI/CD using Git.\n\n- Champion the adoption of AI-assisted development tools across the team to improve developer velocity, code review efficiency, and documentation.\n\n- Conduct code reviews, architecture reviews, and technical design sessions.\n\nInfrastructure & Platform Ownership:\n\n- Own and maintain the infrastructure underlying data products including compute clusters, transactional databases, job orchestration, environments, deployment pipelines, and monitoring.\n\n- Ensure data pipeline reliability, observability, and cost optimization across Databricks.\n\n- Manage access controls, environment configuration, and platform scaling for data product apps.\n\n- Troubleshoot infrastructure issues end-to-end (compute, storage, networking, connectivity).\n\nTeam & People Management:\n\n- Lead, mentor, and grow a team of 4 engineers, providing technical guidance and career development support.\n\n- Conduct 1:1s, performance reviews, and skill-development planning for team members.\n\n- Foster a culture of continuous learning and rapid upskilling in response to evolving tech/business needs.\n\n- Encourage and enable the team to adopt new tools and frameworks quickly.\n\nDelivery & Process Management:\n\n- Own sprint planning, backlog grooming, and sprint retrospectives for the team (Agile/Scrum).\n\n- Break down business requirements into well-scoped technical tasks and user stories.\n\n- Track sprint velocity, manage blockers, and ensure timely delivery of data engineering initiatives.\n\n- Coordinate with cross-functional stakeholders (analytics, product, business teams) to align priorities.\n\nRequired Skills & Experience:\n\n- 8+ years of experience in data engineering, with at least 2+ years in a technical leadership or team lead role.\n\n- Strong hands-on expertise in Databricks (notebooks, clusters, job orchestration, Delta Lake).\n\n- Proficiency in PySpark and Python for large-scale data processing.\n\n- Advanced SQL skills (query optimization, stored procedures, performance tuning).\n\n- Experience with Microsoft SQL Server (T-SQL, database design, troubleshooting).\n\n- Experience with OCR data extraction (Azure Document Intelligence, AWS Textract).\n\n- Solid understanding of Git workflows (branching strategies, PR reviews, merge conflict resolution).\n\n- Hands-on experience building applications using AI coding tools / vibe coding (Claude Code, Cursor, GitHub Copilot, or similar).\n\n- Experience maintaining and troubleshooting infrastructure supporting data products (compute, orchestration, deployment).\n\n- Working knowledge of Machine Learning concepts and lifecycle (model training, deployment, monitoring).\n\n- Proven experience running Agile sprint planning, backlog management, and team ceremonies.\n\n- Experience managing and mentoring a small engineering team (3-5 members).\n\n- Demonstrated ability to quickly learn and adopt new technologies in response to business needs.\n\nPreferred Qualifications:\n\n- Experience with cloud platforms (Azure preferred, Databricks stack).\n\n- Familiarity with CI/CD pipelines (Azure DevOps, GitHub Actions, etc.).\n\n- Experience with data governance frameworks and data quality tools.\n\n- Bachelor's/Master's degree in Computer Science, Engineering, or related field.\n\nSoft Skills:\n\n- Strong communication skills to bridge technical and non-technical stakeholders.\n\n- Ability to balance hands-on coding with people management responsibilities.\n\n- High adaptability - comfortable navigating ambiguity and fast-changing tech/business priorities.\n\n- Problem-solving mindset with a focus on scalable, maintainable solutions.\nSkills\nData Engineering, Azure Databricks, PySpark, Python, SQL, Data Infrastructure, Vibe Coding, SQL Server, T-SQL","description_format":"text","description_chars":5001,"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":["Continuous learning"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-26T02:00:24Z"}],"visa":[],"liveness":{"score":8,"band":"cold","label":"Long shot","p_open":0.4,"p_active":0.537,"p_room":0.35,"age_days":58,"expected_fill_days":26,"reasons":["seen:58","win:tail"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/synergy-maritime-lead-data-engineer","json_url":"https://alion.io/job/synergy-maritime-lead-data-engineer.json","meta":{"generated_at":"2026-10-17T12:43:20Z","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":16911,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"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":3809939},"rest":"https://alion.io/mcp/rest/get_company?id=3809939"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsynergy-maritime-lead-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%2Fsynergy-maritime-lead-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%2Fsynergy-maritime-lead-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/synergy-maritime-lead-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsynergy-maritime-lead-data-engineer"}]}