{"id":1596716,"url":"https://alion.io/job/lawencon-data-engineer","title":"Data Engineer","company":{"id":3824462,"name":"Lawencon","domain":"lawencon.com","url":"https://alion.io/company/lawencon","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":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Jakarta, Indonesia"],"countries":["ID"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":1,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"DataStage","optional":false},{"name":"Db2","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Informatica","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"SSIS","optional":false}],"status":"live","first_seen_at":"2026-10-01T09:21:56Z","employer_posted_date":null,"last_verified_at":"2026-10-01T09:21:56Z","board_verified":false,"closed_at":null,"days_open":24,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":24},"description":"Job Description\nDevelop and maintain ETL/ELT processes and data integration workflows.\n\nDevelop and optimize SQL queries for data processing.\n\nBuild and maintain ETL processes using SSIS and Informatica.\n\nWork with IBM InfoSphere tools, including DataStage, IA, BPM, RAD/Workbench, PME, and DB2.\n\nDevelop big data processing solutions using Apache Spark, including PySpark, Spark R, or Scala.\n\nDevelop data processing scripts using Python and/or R.\n\nSupport data modeling, data architecture, and data warehousing activities.\n\nAutomate data flows and data integration across different platforms.\n\nMonitor, troubleshoot, and optimize data processing and integration processes.\n\nEnsure data quality, consistency, and integrity.\n\nWork closely with technical teams and business stakeholders to support data requirements.\n\nRequirements\nMinimum 1 year of experience in Data Engineering, ETL, Data Integration, or a related field. 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