{"id":1233489,"url":"https://alion.io/job/symphoni-hr-senior-data-engineer","title":"Senior Data Engineer","company":{"id":3800108,"name":"Symphoni HR","domain":"symphonihr.com","url":"https://alion.io/company/symphoni-hr","size_band":"201-500","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Kochi, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":42000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":51},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon EventBridge","optional":false},{"name":"Apache Iceberg","optional":false},{"name":"AWS","optional":false},{"name":"AWS Glue","optional":false},{"name":"AWS Lambda","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"DynamoDB","optional":false},{"name":"PostgreSQL","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false}],"status":"live","first_seen_at":"2026-09-03T00:00:00Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-09-29T00:37:29Z","board_verified":true,"closed_at":null,"days_open":26,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":26},"description":"We are looking for a Senior Data Engineer to design, build, and optimize scalable data platforms and pipelines. You will play a critical role in developing modern data lakehouse architectures on AWS to enable advanced analytics and data-driven decision-making. This position offers the opportunity to work on high-impact projects within a hybrid work model.\nOur client is a prominent, fast-growing global software engineering firm known for delivering innovative digital solutions. They foster a collaborative and dynamic work environment that encourages technical excellence and continuous professional growth. With a focus on cutting-edge technology, they empower their teams to solve complex challenges for a diverse international clientele.\nResponsibilities\nDesign, develop, and maintain analytical data models and metrics using modern, scalable data platform technologies.\nArchitect and implement robust data lakehouse solutions leveraging AWS services.\nBuild, optimize, and maintain high-performance data pipelines using PySpark, Python, and AWS Glue.\nEnsure the reliability, scalability, and high performance of complex data systems.\nCollaborate with business stakeholders to translate complex requirements into effective data solutions.\nPartner with architecture and operations teams to enforce best practices, standards, and data governance.\nMonitor and troubleshoot data workflows to ensure optimal data quality and system efficiency.\nAdhere to established information security management policies and procedures.\nRequirements\n5.5 to 8 years of professional experience in software development with a focus on analytical platform development.\nAt least 3 years of hands-on experience with big data ecosystems and data platforms.\nStrong expertise in AWS EMR, AWS ECS, Step Functions, Apache Spark, PostgreSQL, DynamoDB, and Apache Iceberg.\nProficiency in Python and Spark programming.\nProven experience designing and implementing data lakehouse architectures on AWS.\nHands-on experience with AWS services such as Lambda and EventBridge.\nExperience building highly scalable, low-latency data systems.\nStrong problem-solving skills and the ability to work effectively in an Agile development environment.","description_format":"text","description_chars":2209,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Hybrid work"],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Science & Engineering"],"lifecycle":[{"event":"open","at":"2026-09-25T15:42:28Z"}],"liveness":{"score":53,"band":"ok","label":"Likely open","p_open":1,"p_active":0.585,"p_room":0.9,"age_days":25,"expected_fill_days":47,"reasons":["conf:4","agency","wave","velocity","win:mid","comp:brand"],"computed_at":"2026-09-28T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/symphoni-hr-senior-data-engineer","json_url":"https://alion.io/job/symphoni-hr-senior-data-engineer.json","meta":{"generated_at":"2026-09-29T02:33:06Z","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":2324,"day_limit":5000,"remaining_today":2676,"minute_limit":60,"resets_at":"2026-09-30T00:00:00Z"}}}