{"id":2167611,"url":"https://alion.io/job/hcltech-azure-senior-data-engineer-3","title":"Azure Senior Data Engineer","company":{"id":225,"name":"HCLTech","domain":"hcltech.com","url":"https://alion.io/company/hcltech","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Nagpur, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":19500,"max_usd":39000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":55},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"MS SQL","optional":false},{"name":"SQL","optional":false},{"name":"SSAS","optional":false},{"name":"SSIS","optional":false},{"name":"Agile","optional":true},{"name":"Python","optional":true},{"name":"Scrum","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-09T10:43:46Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-12T10:27:33Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Job Summary\nWe are seeking a skilled Databricks Engineer to design, develop, and optimize data solutions on the Microsoft Azure platform. This role is critical in enabling data-driven decision-making by building scalable data pipelines, integrating diverse data sources, and delivering high-quality analytics solutions aligned with business objectives.\nKey Responsibilities\nDesign and develop scalable data solutions using Azure Databricks and the Azure ecosystem\nBuild and manage Azure Data Factory (ADF) pipelines for efficient data ingestion and transformation\nIntegrate structured and unstructured data from multiple sources into Azure Data Lake / Analytics platforms\nDevelop ETL processes to support analytics and reporting requirements\nCollaborate with cross-functional teams to deliver high-quality data solutions\nTranslate business requirements into technical designs and implement scalable architecture\nEnsure performance optimization, data quality, and reliability across data pipelines\nSupport deployment and version control using Azure DevOps\nSkill Requirements\nMandatory Skills\nStrong expertise in Microsoft Azure Stack (T-SQL, SSIS, SSAS, SSRS)\nHands-on experience with:\n Azure Data Factory (ADF)\nAzure Databricks\nAzure Synapse Analytics\nAzure DevOps\nAzure Storage / Data Lake\nSolid understanding of ETL processes and data integration\nProficiency in SQL and relational databases\nStrong analytical and problem-solving skills\nPreferred Skills (Good to Have)\nExperience with Python scripting and Spark APIs\nExposure to client-facing roles and stakeholder interactions\nFamiliarity with Agile / Scrum methodologies\nEducational Qualification\nBachelor’s degree in Computer Science / Information Technology / related field\nOther Requirements\nSkill Evaluation Matrix (Snapshot)\nAzure Stack, ADF, Databricks, Synapse, ETL, SQL - 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