{"id":2668171,"url":"https://alion.io/job/brac-it-services-data-engineer-azure-cloud","title":"Data Engineer – Azure Cloud","company":{"id":4436056,"name":"BRAC IT Services","domain":"bracits.com","url":"https://alion.io/company/brac-it-services","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"WP Job Openings","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Dhaka, Bangladesh"],"countries":["BD"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":22000,"max_usd":60000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":865},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","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":"pySpark","optional":false},{"name":"Rest API","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-06-10T07:21:27Z","employer_posted_date":"2026-10-04","last_verified_at":"2026-10-16T08:27:38Z","board_verified":true,"closed_at":null,"days_open":128,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":127},"description":"Data Engineer - Azure Cloud\nThe Data Engineer - Azure cloud is responsible for building and maintaining scalable data pipelines and analytics solutions on Azure. The role involves building enterprise-grade ETL/ELT pipelines, optimizing big data workloads, implementing data governance best practices, and supporting cloud-based analytics initiatives. The engineer works closely with architects, Databricks engineers, BI analysts, and data scientists to deliver curated, reliable datasets across various business domains.\nDepartment:\nData Services & Solutions\nEmployment Type:\nFull-time\nExperience:\n3+ Years\nWorkplace Type:\nOn-site\nNumber of Vacancies:\n1\nLocation:\nDhaka\nDeadline:\n15 October 2026\nKey Responsibilities\nDesign and develop scalable data pipelines using Azure Databricks.\nBuild and maintain ETL/ELT workflows using Azure Data Factory (ADF).\nDevelop data processing solutions using PySpark, Spark SQL, and Delta Lake.\nIngest and process structured, semi-structured, and unstructured data from multiple sources.\nOptimize Databricks jobs, clusters, notebooks, and Spark workloads for performance and cost efficiency.\nImplement Medallion Architecture (Bronze, Silver, Gold layers).\nManage data storage and ingestion using Azure Data Lake Storage Gen2 (ADLS Gen2).\nIntegrate APIs, databases, and cloud services into data platforms.\nImplement CI/CD pipelines and version control for Databricks projects.\nMonitor, troubleshoot, and resolve pipeline and job execution issues.\nCollaborate with data analysts, BI teams, and business stakeholders to deliver analytics solutions.\nEnsure data quality, security, and governance standards are maintained.\nSupport cloud migration and modernization initiatives.\nRequired Skills & Experience\nTechnical Skills\nTotal Years of Experience: 3+ years\nStrong hands-on experience with Azure Databricks.\nStrong proficiency in PySpark and Spark SQL.\nExperience with Azure Data Factory (ADF).\nExperience with ADLS Gen2 and Delta Lake.\nGood understanding of data warehousing concepts and ETL/ELT processes.\nExperience with SQL and relational databases.\nKnowledge of Azure ecosystem services.\nExperience with REST API integration.\nFamiliarity with Git-based version control systems.\nUnderstanding of workflow orchestration and scheduling. \nProfessional Competencies\nStrong analytical and problem-solving skills\nProficient in English communication (verbal and written)\nGood communication and stakeholder management\nAbility to work independently and collaboratively\nStrong troubleshooting and optimization mindset\nInterview Steps\nTechnical/Functional Interview (Onsite)\nHR Interview (Online)\nOffer\n\nApply Now\nDepartment:\nData Services & Solutions\nEmployment Type:\nFull-time\nExperience:\n3+ Years\nWorkplace Type:\nOn-site\nNumber of Vacancies:\n1\nLocation:\nDhaka\nDeadline:\n15 October 2026\n\nApply Now","description_format":"text","description_chars":2823,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"Advanced 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