{"id":1285494,"url":"https://alion.io/job/metlife-senior-data-engineer-i","title":"Senior Data Engineer I","company":{"id":450553,"name":"Metlife","domain":"metlife.com","url":"https://alion.io/company/metlife-5","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":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":20000,"max_usd":41000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":51},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Cosmos DB","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Hadoop","optional":false},{"name":"HBase","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Apache Kafka","optional":true},{"name":"Apache NiFi","optional":true},{"name":"Azure DevOps","optional":true},{"name":"CI/CD","optional":true},{"name":"Git","optional":true},{"name":"Unix","optional":true}],"status":"live","first_seen_at":"2026-08-14T06:08:36Z","employer_posted_date":null,"last_verified_at":"2026-08-14T06:08:36Z","board_verified":false,"closed_at":null,"days_open":47,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":47},"description":"Role :\n\nData Engineer plays a critical role in data and analytics life cycle and significantly contributes to production grade data and analytics solutions.\n\nThe role requires one to demonstrate Big Data, Engineering and Cloud expertise. This role mentors Data engineers.\n\nIt is an individual contributor role, expected to solve wide ranging business problems.\n\nExperience : 8 - 10 years of relevant experience.\n\nEducation :\n\nBachelors degree in computer science, information technology or equivalent educational qualification.\n\nResponsibilities :\n\n- Design, build, and maintain robust ETL/ELT pipelines on cloud (Azure) or on-prem to collect, ingest and store large volumes of structured and unstructured data for batch/real time processing.\n\n- Monitor, optimize, and troubleshoot data pipelines to ensure reliability, scalability, and performance.\n\n- Ensure data processing, quality, security, and compliance guidelines, policies and standards are followed.\n\n- Collaborate with multiple partners from Business, Technology, Operations and D&A capabilities (Data Governance, Data Quality, Data Modeling, Data Architecture, Data science, DevOps, BI & insights).\n\n- Mentor Data Engineers.\n\n- Independently lead design, solutioning & estimations.\n\nTechnical Skills :\n\n- SQL, Python/Scala.\n\n- NoSql and distributed databases (Hbase, Cosmos DB).\n\n- ETL pipeline design and development; Solutioning and estimation.\n\n- Big Data Frameworks : Apache Spark, Hadoop, Hive.\n\n- Cloud platforms : Azure data factory, Eventhub, Azure functions, Synapse, Databricks.\n\n- Datawarehouses, data marts, data lakes.\n\n- Medallion architecture.\n\n- Performance tuning, optimization, and data quality validation.\n\n- Real-time and batch data processing, streaming pipelines with Spark.\n\n- Communication skills, analytical skills, structured problem-solving skills, mentorship skills.\n\n- Mentorship experience.\n\n- Storytelling skills, Partner & Stakeholder engagement experience.\n\nGood To Have :\n\n- DevOps practices : Git, AzureDevops, CI/CD pipelines.\n\n- Unix shell scripting, Kafka, MongoDB, Nifi.\n\n- Exposure to Gen AI technology and tools.\n\n- Banking Financial Services and Insurance domain knowledge.\nSkills\nData Engineering, Big Data, ETL, Data Pipeline, Azure, SQL, Python, Scala, Medallion Architecture, Apache Spark","description_format":"text","description_chars":2296,"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":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Property & Casualty Insurance","Health Insurance & Benefits","Life Insurance & Annuities"],"lifecycle":[{"event":"open","at":"2026-09-26T04:00:00Z"}],"liveness":{"score":7,"band":"cold","label":"Long shot","p_open":0.4,"p_active":0.527,"p_room":0.35,"age_days":46,"expected_fill_days":23,"reasons":["seen:46","velocity","win:tail"],"computed_at":"2026-09-30T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/metlife-senior-data-engineer-i","json_url":"https://alion.io/job/metlife-senior-data-engineer-i.json","meta":{"generated_at":"2026-10-01T00:50:24Z","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":577,"day_limit":5000,"remaining_today":4423,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}