{"id":1244830,"url":"https://alion.io/job/gxbank-senior-data-engineer","title":"Senior Data Engineer","company":{"id":2104760,"name":"GXBank","domain":"gxbank.my","url":"https://alion.io/company/gxbank","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"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":["Petaling Jaya, Malaysia"],"countries":["MY"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":18000,"max_usd":44000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1254},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"dbt","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-11T00:00:00Z","employer_posted_date":"2026-09-11","last_verified_at":"2026-09-26T18:39:30Z","board_verified":true,"closed_at":null,"days_open":16,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":16},"description":"Responsibilities\nDesign, develop, test, deploy, and maintain robust and scalable ELT data pipelines using dbt (data build tool) for data transformation within Snowflake.\n\nOrchestrate and schedule complex data workflows using Apache Airflow, ensuring timely and reliable data delivery.\n\nDevelop connectors and scripts (primarily in Python) to extract data from various source systems (APIs, databases, files, streaming platforms) and load it into Snowflake.\n\nImplement data ingestion strategies (batch and streaming) using Snowflake's capabilities (e.g., Snowpipe, external stages).\n\nOptimize Snowflake warehouse usage, query performance, and overall data platform efficiency.\n\nManage and monitor Snowflake resources, ensuring cost-effectiveness and scalability.\n\nImplement and enforce data governance, security (e.g., RBAC, data masking), and privacy best practices within Snowflake.\n\nAssist in schema design, table optimization (clustering, partitioning), and data loading strategies.\n\nSolve key business problems through using an appropriate mix of strategic thinking and computational methods.\n\nDevelop and uphold best practices with respect to change management, documentation and data protocols.\n\nRequirements\nBachelor/Master degree in Analytics, Data Science, Mathematics, Computer Science, Information Systems, Computer Engineering, or related technical field.\n\nDemonstrated mastery of complex SQL queries, analytical functions, stored procedures, and performance tuning.\n\n5+ years of hands-on experience with SQL or any Data warehouse/Data Lake, including data loading, transformations, performance optimization, and security features.\n\nProven experience in building and managing complex data transformation pipelines using dbt, including Jinja templating, macros, tests, and documentation.\n\nSolid experience in designing, developing, and deploying production-grade data pipelines using Apache Airflow (DAGs, Operators, Sensors, XComs).\n\nStrong Python scripting skills for data manipulation, API integrations, and Airflow DAG development.\n\nAnalytical and independent problem solver. Meticulous with high attention to detail.\n\nStrong communicator with ability to switch hats between data/technical speak and business/layperson speak.\n\nSolid understanding of data warehousing concepts, dimensional modeling (star/snowflake schemas), and data lake architectures.\n\nDeep understanding of Extract, Load, Transform (ELT) or ETL principles and best practices.\n\nFamiliarity with data quality frameworks, data lineage, and data governance principles.\n\nExperience working in a digital banking or financial services environment is highly advantageous, with an understanding of financial data concepts and regulatory requirements.","description_format":"text","description_chars":2725,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Digital Banks & Neobanks"],"lifecycle":[{"event":"open","at":"2026-09-25T17:10:48Z"}],"liveness":{"score":60,"band":"ok","label":"Likely open","p_open":1,"p_active":0.666,"p_room":0.9,"age_days":15,"expected_fill_days":24,"reasons":["conf:3","win:mid"],"computed_at":"2026-09-26T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/gxbank-senior-data-engineer","json_url":"https://alion.io/job/gxbank-senior-data-engineer.json","meta":{"generated_at":"2026-09-27T05:10:38Z","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":4538,"day_limit":5000,"remaining_today":462,"minute_limit":60,"resets_at":"2026-09-28T00:00:00Z"}}}