{"id":1174507,"url":"https://alion.io/job/weekday-data-engineer-4","title":"Data Engineer","company":{"id":7097,"name":"Weekday","domain":"weekday.works","url":"https://alion.io/company/weekday","size_band":"51-200","is_staffing_agency":true,"is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":81,"open_postings":88,"ghost_share":0,"stale_share":0.977,"repost_share":0,"time_to_fill_p50_days":5,"computed_at":"2026-09-24T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, Pakistan"],"countries":["PK"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"Apache Kafka","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GitLab","optional":false},{"name":"MQTT","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-09-24T10:48:36Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-09-24T14:51:23Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"This role is for one of Weekday’s clients\nMin Experience: 3+ years\nLocation: Hyderabad\nJobType: full-time\nWe are seeking a Data Engineer to develop and maintain data pipelines, analytical datasets, and enterprise reporting models that support analytics, AI initiatives, manufacturing operations, connected vehicle platforms, and executive decision-making. You will work closely with Analytics and AI teams to deliver high-quality data products that support Tableau dashboards and business intelligence solutions.\nRequirements\nKey Responsibilities\nDevelop and maintain ETL/ELT pipelines using Spark, Airflow, Kafka, MQTT, and cloud-native technologies.\nBuild and optimize Redshift data models, analytical datasets, and reporting structures.\nCreate and maintain Tableau-consumable datasets and certified reporting layers.\nIntegrate manufacturing, charging, IoT, ERP, CRM, and operational data sources.\nSupport data quality, validation, reconciliation, and monitoring processes.\nDevelop business-focused dimensional models and analytical data marts.\nCollaborate with Analytics Engineers and business stakeholders to improve reporting accuracy and performance.\nSupport Tableau data source development and reporting initiatives.\nOptimize Redshift query performance and data processing efficiency.\nParticipate in GitLab-based development, testing, deployment, and code review activities.\nFunctional Knowledge\nUnderstanding of manufacturing operations, production analytics, quality reporting, and operational performance measurement.\nFamiliarity with connected vehicle platforms, telemetry data, EV charging analytics, battery performance metrics, and customer usage reporting.\nKnowledge of enterprise reporting requirements across Finance, Supply Chain, Procurement, Sales, Service, Marketing, and HR.\nUnderstanding of data warehousing principles, dimensional modeling, analytical data marts, and reporting architectures.\nExperience supporting Tableau dashboards and self-service business intelligence solutions.\nFamiliarity with KPI development, business metrics, scorecards, and analytical reporting standards.\nUnderstanding of data quality, reconciliation processes, governance requirements, and enterprise reporting controls.\nAbility to collaborate with business users and translate reporting requirements into scalable data solutions.\nQualifications\nBachelor's degree in Computer Science, Engineering, Analytics, or related field.\n3-7 years of experience in Data Engineering.\nStrong SQL and Python programming skills.\nExperience with Redshift, Spark, Airflow, Kafka, MQTT, and cloud-based data architectures.\nExperience supporting Tableau reporting environments and business intelligence solutions.\nUnderstanding of dimensional modeling, data warehousing, and enterprise reporting architectures.\nManufacturing, Automotive, EV, or IoT experience preferred.\nMust-have skills\npython, spark, Kafka\nGood-to-have skills\nsql, Automotive, Manfacturing","description_format":"text","description_chars":2943,"description_truncated":false,"requirements":{"experience_years_min":null,"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":[],"lifecycle":[{"event":"open","at":"2026-09-24T10:48:36Z"}],"liveness":{"score":52,"band":"ok","label":"Likely open","p_open":1,"p_active":0.516,"p_room":1,"age_days":0,"expected_fill_days":5,"reasons":["conf:0","agency","win:early","comp:brand"],"computed_at":"2026-09-24T15:15:36Z"},"pay":null,"html_url":"https://alion.io/job/weekday-data-engineer-4","json_url":"https://alion.io/job/weekday-data-engineer-4.json","meta":{"generated_at":"2026-09-24T15:15:36Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}