{"id":1254325,"url":"https://alion.io/job/aryan-solutions-data-lead-data-engineering","title":"Data Lead – Data Engineering","company":{"id":3802167,"name":"Aryan Solutions","domain":"aryan-solutions.com","url":"https://alion.io/company/aryan-solutions","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":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":15000,"max":20000,"currency":"SGD","period":"month","gross":true,"usd_annual":187920},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"pySpark","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"SSIS","optional":false},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-09-15T00:00:00Z","employer_posted_date":null,"last_verified_at":"2026-09-15T00:00:00Z","board_verified":false,"closed_at":null,"days_open":14,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":14},"description":"Experience: 7–12 Years\nLocation: Singapore\nFulltime Permanent Role\nWe are looking for a Data Lead – Data Engineering to drive technical diagnostics, optimisation, and stabilisation of enterprise data platforms supporting large-scale ETL and batch processing systems.\nKey Responsibilities\nStrong expertise in: Azure Data Factory (ADF),Databricks (PySpark / Spark SQL preferred),SSIS and SQL Server\nHands-on experience with: Batch orchestration tools (Control-M / Autosys),ETL/ELT pipeline design and optimization\nStrong experience in: SQL development and performance tuning, Troubleshooting and debugging complex data pipelines\nFamiliarity with: Monitoring and alerting tools (Azure Monitor, Log Analytics)\nExposure to large-scale data processing and batch system\nReview and optimize ADF pipelines, SSIS packages, and Databricks workflows for performance, scalability, and \nAnalyze batch scheduling and orchestration frameworks (Control-M / Autosys), including dependencies, triggers, and SLA adherence \nInvestigate and resolve pipeline failures, job delays, and runtime issues, ensuring faster recovery and minimal business \nEvaluate source-to-target integration flows, SQL logic, and transformation layers for efficiency and correctness \nDefine and improve error handling, retry mechanisms, restart ability, and reprocessing strategies across ETL and batch \nOptimize runtime performance of data pipelines, including query tuning and batch execution improvements \nEstablish and enhance monitoring and alerting frameworks using tools like Azure Monitor, Control-M dashboards, and custom logging solutions \nIdentify automation opportunities to reduce manual intervention and improve operational efficiency \nEnsure data quality, consistency, and reliability across ETL processes and reporting outputs \nSupport modernization initiatives, including migration from legacy ETL (SSIS) to cloud-based platforms like Databricks \nCollaborate with data engineers, architects, business, and support teams to drive improvements and ensure stable production systems\nSkills\nMicrosoft Sql Server Integration Services (SSIS), Control M, Spark SQL, Optimization, PySpark, Azure Monitor, ETL Tools, Data Pipeline, ETL specification, Azure Data Factory, Product Exposure, Databricks, Batch Processing, Log Analysis, Hands-On Experience, Autosys","description_format":"text","description_chars":2323,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Singapore","iso":"SG","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Information Technology"],"lifecycle":[{"event":"open","at":"2026-09-25T17:56:20Z"}],"liveness":{"score":70,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.776,"p_room":0.9,"age_days":13,"expected_fill_days":23,"reasons":["seen:13","velocity","win:mid"],"computed_at":"2026-09-28T05:45:00Z"},"pay":{"stated_usd_annual":187920,"is_top_pay":true},"html_url":"https://alion.io/job/aryan-solutions-data-lead-data-engineering","json_url":"https://alion.io/job/aryan-solutions-data-lead-data-engineering.json","meta":{"generated_at":"2026-09-29T04:48:51Z","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":4621,"day_limit":5000,"remaining_today":379,"minute_limit":60,"resets_at":"2026-09-30T00:00:00Z"}}}