{"id":3742427,"url":"https://alion.io/job/synechron-senior-data-engineer-2","title":"Senior Data Engineer","company":{"id":5306,"name":"Synechron","domain":"synechron.com","url":"https://alion.io/company/synechron","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":95,"open_postings":23,"ghost_share":0.043,"stale_share":0.174,"repost_share":0.174,"time_to_fill_p50_days":21,"computed_at":"2026-11-07T05:47:08Z"}},"role":"Data Science","role_family":"Data Science","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","Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"pySpark","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Agile","optional":true},{"name":"Airflow","optional":true},{"name":"Azure Data Factory","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-11-04T12:11:29Z","employer_posted_date":"2026-11-04","last_verified_at":"2026-11-07T16:50:44Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Senior Data Engineer (8-12 Years Experience)\nRole Summary\nWe are seeking an experienced Senior Data Engineer with 8-12 years of experience in designing, building, and optimizing enterprise data platforms and data solutions. The ideal candidate should have strong expertise in Spark-based data engineering, data modeling, and modern cloud data warehousing technologies. The candidate should also be capable of contributing to solution design and architecture discussions, helping define scalable and efficient data solutions for business and technology stakeholders.\nKey Responsibilities\nDesign, develop, and maintain scalable data pipelines and data processing frameworks.\nBuild and optimize data processing solutions using Spark and related technologies.\nDevelop and maintain enterprise data models, including semantic and dimensional models.\nWork closely with business stakeholders, architects, and engineering teams to translate business requirements into technical solutions.\nParticipate in solutioning, architecture reviews, and technical design discussions.\nCreate high-level and low-level design documents for data platforms and analytics solutions.\nDesign scalable, secure, and high-performing data architectures.\nEnsure data quality, governance, security, and compliance standards are met.\nOptimize data processing performance and troubleshoot complex data issues.\nSupport deployment automation and CI/CD practices for data engineering solutions.\nProvide technical guidance and mentorship to junior team members.\nMandatory Skills\n8-12 years of experience in Data Engineering.\nStrong hands-on experience with Apache Spark / PySpark.\nProven experience in Data Modeling, including Enterprise Semantic Data Modeling (ESDM) Semantic Modeling Dimensional Modeling Star Schema and Snowflake Schema design\nStrong SQL skills and experience handling large-scale datasets.\nExperience designing and implementing enterprise data platforms and data solutions.\nAbility to contribute to solution architecture, technical design, and data platform strategy.\nExposure to cloud platforms such as AWS\nExperience working with cloud-based data ecosystems and data lakes.\nStrong understanding of data governance, metadata management, and data quality frameworks.\nGood-to-Have Skills\nExperience with Snowflake.\nExperience with Python for data engineering and automation.\nExperience with orchestration tools such as Airflow, Azure Data Factory, or similar.\nKnowledge of CI/CD and DevOps practices within data engineering environments.\nExperience with performance tuning and optimization of large-scale data workloads.\nKey Evaluation Criteria\nStrong Spark/PySpark expertise.\nHands-on Data Modeling experience (ESDM, Semantic Modeling, Dimensional Modeling).\nAbility to support and drive solutioning and technical design discussions.\nExperience designing enterprise-scale data platforms and architectures.\nSnowflake experience (Good to Have).\nStrong SQL and data optimization skills.\nStakeholder communication and architecture collaboration capabilities.\nPreferred Candidate Profile\nStrong analytical and problem-solving skills.\nAbility to translate business requirements into scalable technical solutions.\nExperience working in Agile delivery environments.\nStrong communication and stakeholder management skills.\nCapable of leading solution design discussions and providing architectural recommendations for data initiatives.\nS YNECHRON’S DIVERSITY & INCLUSION STATEMENT\nDiversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture - promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.\nAll employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.\nCandidate Application Notice","description_format":"text","description_chars":4540,"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":["Equity","Flexible schedule"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Financial Software & Embedded Finance","IT Consulting & Digital Transformation","Cloud Consulting & Migration","Data Engineering & Migration Services"],"lifecycle":[{"event":"open","at":"2026-11-04T12:11:29Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":2,"expected_fill_days":21,"reasons":["conf:6","velocity","win:early","comp:brand"],"computed_at":"2026-11-07T05:47:08Z"},"pay":null,"html_url":"https://alion.io/job/synechron-senior-data-engineer-2","json_url":"https://alion.io/job/synechron-senior-data-engineer-2.json","meta":{"generated_at":"2026-11-07T20:12:28Z","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":31900,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-08T00:00:00Z"}},"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":5306},"rest":"https://alion.io/mcp/rest/get_company?id=5306"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsynechron-senior-data-engineer-2"},{"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%2Fsynechron-senior-data-engineer-2"},{"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%2Fsynechron-senior-data-engineer-2"},{"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/synechron-senior-data-engineer-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsynechron-senior-data-engineer-2"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3742427}},{"tool":"search_jobs","arguments":{"company":"synechron.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3742427},"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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