{"id":1812891,"url":"https://alion.io/job/vserve-ebusiness-solutions-senior-data-engineer","title":"Senior Data Engineer","company":{"id":3801527,"name":"Vserve Ebusiness Solutions","domain":"vservesolution.com","url":"https://alion.io/company/vserve-ebusiness-solutions-india-private-limited","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Zoho Recruit","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":["Coimbatore, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":20000,"max_usd":41000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":55},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure SQL Database","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Agile","optional":true},{"name":"Aptos","optional":true},{"name":"DynamoDB","optional":true},{"name":"Informatica","optional":true},{"name":"PostgreSQL","optional":true}],"status":"live","first_seen_at":"2026-10-03T21:52:31Z","employer_posted_date":"2026-10-03","last_verified_at":"2026-10-12T04:14:22Z","board_verified":true,"closed_at":null,"days_open":8,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":8},"description":"Senior Data Engineer\n\nLocation - India (Coimbatore preferred)\nWork Mode - WFO preferred, hybrid or remote will also be considered for the right candidate\nExperience - 5+ years in Data Engineering, including hands-on cloud data platform delivery\nEmployment Type - Full-Time\nROLE OVERVIEW\n\nVserve is looking for a Senior Data Engineer to design, build, and own scalable data platforms on Microsoft Azure\necosystems. This role will lead the development of Enterprise Data Warehousing, ETL/ELT pipelines, and analytics-\nready data models that power reporting and decision-making for our retail, wholesale, and distribution clients. The\nideal candidate is equally comfortable architecting cloud-native pipelines and partnering directly with business\nstakeholders to translate requirements into reliable, production-grade data solutions.\nKEY RESPONSIBILITIES\n\nDesign, build, and maintain scalable Enterprise Data Warehouse (EDW) solutions on Azure (ADF, Databricks, Azure SQL, Microsoft Fabric).\nDevelop and orchestrate end-to-end ETL/ELT pipelines using Apache Airflow, Azure Data Factory, and Databricks, ensuring reliability and minimal manual intervention.\nBuild and optimize PySpark transformations and Delta Lake pipelines to process large-scale datasets into curated, analytics-ready data products.\nDesign dimensional data models (star/snowflake schemas), fact and dimension tables, and data marts to support sales, inventory, demand, and profitability reporting.\nDevelop Power BI semantic models, datasets, and interactive dashboards enabling self-service analytics and KPI reporting for business stakeholders.\nImplement data quality and validation frameworks, including reconciliation checks, exception reporting, and automated alerting.\nOwn data reconciliation between ERP/business systems (e.g., Microsoft Dynamics AX / D365 F&O, POS platforms) and the enterprise data warehouse.\nImplement complex business logic for margin calculations, cost attribution, and promotional/discount allocation to\nsupport accurate financial reporting.\nBuild automated data ingestion frameworks using Python and REST APIs, and implement incremental loading\nstrategies for efficient, near real-time reporting.\nTune and optimize SQL/PL-SQL queries and data workflows for performance across high-volume, regulated, or\ncompliance-sensitive datasets.\nImplement CI/CD for data pipelines (GitHub Actions, Git) to improve release consistency and reduce deployment\neffort.\nPartner with business users, analysts, and SMEs to gather requirements and translate them into scalable, well-\ndocumented data engineering solutions.\nMentor junior data engineers and contribute to data architecture and engineering best practices across the team.\nCANDIDATE PROFILE - SKILLS & EXPERIENCE\n\nMust-Have\n\n5+ years of hands-on Data Engineering experience, with demonstrated ownership of production data pipelines\nend to end.\nStrong experience with Microsoft Azure data services: Azure Data Factory (ADF), Databricks, Azure Data\nLake, Azure SQL.\nHands-on expertise in Apache Spark / PySpark and Delta Lake for large-scale data processing.\nProven experience building and orchestrating pipelines with Apache Airflow or equivalent workflow\norchestration tools.\nAdvanced SQL skills and solid Python (Pandas, NumPy) programming ability.\nStrong grounding in dimensional data modeling (star/snowflake schemas, normalization, ER-diagram design).\nExperience with Power BI (DAX, Power Query) and/or Microsoft Fabric for reporting and dashboard delivery.\nExperience implementing data quality, validation, and reconciliation frameworks in a production\nenvironment.\nGood-to-Have\n\nExposure to Microsoft Dynamics AX / Dynamics 365 Finance & Operations (D365 F&O) or similar ERP/POS\nplatforms (e.g., Aptos POS).\nExperience with Informatica PowerCenter or other enterprise ETL tools.\nFamiliarity with MongoDB, PostgreSQL, or DynamoDB alongside relational/warehouse platforms.\nExperience in retail, wholesale distribution, or financial services data domains.\nWorking knowledge of CI/CD practices (GitHub Actions, Git) and Agile delivery methodologies.\nPrior experience mentoring engineers or leading a small data engineering pod.\nEducation\n\nBachelor degree in Computer Science, Information Technology, or a related field is required.\nMaster degree is a plus.\nRequirements\nAzure, ADF, Databricks, PySpark, Python, SQL, Airflow, Delta Lake, ETL/ELT, Data Warehousing, Data Modeling, Power BI, DAX, Data Quality, REST API, Git/CI-CD, D365 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