{"id":559427,"url":"https://alion.io/job/popsockets-data-engineer","title":"Data Engineer","company":{"id":451305,"name":"Popsockets","domain":"popsockets.com","url":"https://alion.io/company/popsockets-2","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":14000,"max_usd":35000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":16},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"QuickBooks","optional":false},{"name":"Rest API","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-06-03T04:01:46Z","employer_posted_date":"2026-06-03","last_verified_at":"2026-10-16T11:01:50Z","board_verified":true,"closed_at":null,"days_open":135,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":135},"description":"The Role: Must be located in Faridabad or Delhi area\nThe Business Intelligence Team at PopSockets is a group of talented and agile professionals looking to add an experienced Data Engineer to our team as we continue growing globally. This role will focus on building and maintaining enterprise data warehouse solutions in Microsoft Fabric, with primary responsibility for designing, troubleshooting, and optimizing ETL/ELT processes that move data from disparate source systems into report and AI ready dimensional models. Working closely alongside US and India counterparts, this position will build and orchestrate pipelines in Fabric using Dataflow Gen2, Data Factory pipelines, and related Fabric capabilities to deliver reliable, scalable, and well-documented datasets for analytics and reporting used across the organization. The Data Engineer will be responsible for transforming raw operational data into high-quality star schemas with clearly defined dimension and fact tables that support Power BI and broader business intelligence needs. A successful candidate can manage competing priorities in a fast-paced environment while maintaining a high degree of organization and attention to detail. Additionally, they should be comfortable working within a global company that utilizes multiple ERP systems, eCommerce tools, marketplace APIs (including but not limited to Amazon Vendor and Seller Central), and Ad platforms. We are looking for an individual with a positive attitude who wants to grow their skill set at a dynamic company that values collaboration and hard work. This position reports to our Business Intelligence Lead in the US.\nResponsibilities:\nDesign, build, and maintain enterprise ETL/ELT pipelines in Microsoft Fabric using Dataflow Gen2, Data Factory pipelines, and other Fabric-native tools\n\nCollaborate closely with other Data Engineers and Developers in India to deliver scalable, well-orchestrated data solutions that support a global business\n\nIngest data from new and existing source systems into Microsoft Fabric using a combination of out-of-the-box connectors, APIs, and custom integration approaches\n\nTransform and standardize disparate datasets into report-ready tables optimized for Power BI and downstream analytics use cases\n\nEngineer and maintain dimensional models, including star schemas with fact and dimension tables, to support enterprise reporting and analytical scalability\n\nCollaborate with analysts and business stakeholders to understand data requirements and translate them into robust warehouse and semantic-ready data structures\n\nCreate and monitor jobs, alerts, and data quality checks to identify missing, incomplete, or inaccurate data and perform root cause analysis to resolve issues\n\nOptimize data transformations, query performance, and warehouse design to improve reliability, efficiency, and cost management\n\nPrepare and maintain data architecture documentation, pipeline documentation, system diagrams, and ERDs to clearly communicate lineage and transformation logic\n\nAssist in building roadmaps for new data sources, warehouse enhancements, and process automation opportunities within the Fabric ecosystem\n\nIdentify opportunities to improve reporting enablement, automation, and analytical capabilities across the business\n\nOther duties as assigned, including ad hoc project work\n\nRequirements:\nBachelor’s degree in Business Analytics, Computer Science and Engineering, Data Science, Information Systems, or another quantitatively rigorous discipline\n\n3+ years of hands-on experience in data engineering, enterprise data warehousing, data modeling, or related disciplines\n\nStrong understanding of ETL/ELT concepts, with practical experience using SQL, Spark, Python, and other programming languages\n\nHands-on experience with Microsoft Fabric, including Dataflow Gen2, Data Factory pipelines, and Fabric Lakehouse and Warehouse\n\nDemonstrated experience designing and maintaining dimensional models, including star schemas with dimension and fact tables\n\nProven ability to normalize, standardize, join, and aggregate disparate raw datasets into report-ready tables at multiple levels of granularity\n\nExperience supporting Power BI or similar BI platforms with analytics-ready datasets and semantic-friendly structures\n\nConsistently leveraging AI to improve efficiency and processes with a desire to build data foundations that support the company’s AI initiatives\n\nExperience building and maintaining API-based integrations, with working knowledge of MCPs, authentication methods, and common integration patterns such as REST, JSON, and webhooks\n\nAbility to identify opportunities for performance optimization, automation, and cost efficiency across data pipelines and warehouse processes\n\nAbility to multi-task, problem solve, and take ownership of work in a fast-paced, high-growth environment\n\nMust be detail oriented with strong organizational, documentation, and analytical skills\n\nStrong work ethic, initiative, and a collaborative mindset with a positive attitude\n\nExperience with Microsoft Dynamics NAV/Business Central, QuickBooks, Salesforce Commerce Cloud, Shopify, Amazon marketplaces, and advertising data is a 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