{"id":1216333,"url":"https://alion.io/job/samsung-electronics-data-engineer","title":"Data Engineer","company":{"id":166,"name":"Samsung Electronics","domain":"samsung.com","url":"https://alion.io/company/samsung","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":80,"open_postings":131,"ghost_share":0,"stale_share":0.817,"repost_share":0,"time_to_fill_p50_days":25,"computed_at":"2026-09-27T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Manila, Philippines"],"countries":["PH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":12500,"max_usd":36000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":276},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Airflow","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"AWS Glue","optional":false},{"name":"BigQuery","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Hadoop","optional":false},{"name":"Java","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Kubernetes","optional":true},{"name":"Machine Learning","optional":true}],"status":"live","first_seen_at":"2026-09-25T09:28:02Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-09-26T17:05:00Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Position Summary\nWe are seeking a skilled and experienced Data Engineer to join our team for a cutting-edge Big Data Project. The ideal candidate will be responsible for designing, developing, and maintaining scalable and efficient data pipelines and infrastructure to support our data-driven initiatives. This role requires a strong technical background in big data technologies and data engineering best practices.Role and Responsibilities\nDuties & Responsibilities:\nResponsibilities Include:\nImplement, maintain and evolve cloud-based Big Data products and services\nResponsible for designing, implementing, testing, and maintaining ETL processes for Analytics and Business Intelligence Systems\nAnalyze data warehouses and suggest optimizations to SQL Queries used for Business Intelligence reporting\nModify structured and unstructured data to provide meaningful reports to business\nWrite large amounts of code, perform code reviews, write unit tests\nWrite documentation\nInterface with other groups including Product Management, QA and Operations\nCreate quick proof-of-concept prototypes\nParticipate in an agile team\nWork Experience:\nAt least 2 years relevant work experience\nSkills & Competencies:\nWorking experience in software development using Java, Scala, or Python is a must\nExtensive experience in implementing scalable and reliable ETL pipelines using Big Data Technologies such as Apache Spark, Hadoop, AWS Glue\nExperience transforming data in various formats ( JSON,CSV, PARQUET, YAML, Avro, Orc)\nExperience managing and scheduling workflows (Apache Airflow experience is preferred)\nExperience with working on SQL Databases (Cloud Data Warehouses such as Amazon Redshift, Google BigQuery, and Data Lakes/Delta Lakes are preferred)\nAbility to analyze and simplify complex code and algorithms in Java, Scala or Python\nAbility to adapt and learn different technologies that best solves the problem regardless of whether it is written in Python, Java, Scala, etc.\nAbility to perform ad-hoc complex SQL queries and query optimization\nTeam player with strong communication skills\nDesire to learn fast and pick up latest technologies and tools\nExperience with data visualization software (Tableau preferred) is a plus\nExperience with Kubernetes and Machine Learning is a plus\nSkills and Qualifications\n* Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here.","description_format":"text","description_chars":2523,"description_truncated":false,"requirements":{"experience_years_min":2,"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":["Smartphones","Televisions","Semiconductor Manufacturing","Displays & Panel Technology"],"lifecycle":[{"event":"open","at":"2026-09-25T09:28:02Z"}],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":1,"expected_fill_days":25,"reasons":["conf:12","stale_co","velocity","win:early","comp:junior,brand"],"computed_at":"2026-09-27T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/samsung-electronics-data-engineer","json_url":"https://alion.io/job/samsung-electronics-data-engineer.json","meta":{"generated_at":"2026-09-28T04:51:15Z","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":3175,"day_limit":5000,"remaining_today":1825,"minute_limit":60,"resets_at":"2026-09-29T00:00:00Z"}}}