{"id":34523,"url":"https://alion.io/job/altera-data-engineer","title":"Data Engineer","company":{"id":5328,"name":"Altera","domain":"altera.com","url":"https://alion.io/company/altera","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":84,"open_postings":12,"ghost_share":0,"stale_share":0.583,"repost_share":0.083,"time_to_fill_p50_days":56,"computed_at":"2026-10-31T05:58:55Z"}},"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":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":17000,"max_usd":45000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":21},"experience_years_min":4,"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":"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":"pySpark","optional":false},{"name":"SQL","optional":false},{"name":"Power BI","optional":true},{"name":"Python","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-07-30T00:00:00Z","employer_posted_date":"2026-07-30","last_verified_at":"2026-10-31T20:35:10Z","board_verified":true,"closed_at":null,"days_open":94,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":94},"description":"Job Details:\nJob Description:\nWe are looking for a highly skilled Senior Data Engineer to join our Data & Analytics team and help the design and development of modern data platforms. This role focuses on building scalable, high-performance data solutions using tools such as Databricks,Microsoft Fabric, Azure Data Factory and PySpark. The ideal candidate will be passionate about data warehousing, data engineering, data architecture, automation, and DevOps practices, and will work closely with Business analysts, engineering team, Data Scientists to enable robust, real-time, and secure data operations.\nExpert in data engineering, ETL/ELT, and modern data platforms such as (Databricks,MS Fabric, Synapse etc.)\n\nDesign, build, and optimize scalable data pipelines using Databricks, Azure Data Factory, and Microsoft Fabric.\n\nDevelop ETL/ELT workflows using PySpark, SQL, and data orchestration frameworks.\n\nArchitect and implement data Lakehouse and data warehouse solutions on Databricks/Microsoft Fabric.\n\nThe role requires a strong understanding of Data Warehousing, Data Modeling, data engineering principles, cloud computing, and the Microsoft Fabric platform\n\nStrong in SQL development, including writing complex queries and stored procedures\n\nCollaborate with data scientists and analysts to ensure efficient data delivery and model readiness.\n\nLeverage CI/CD practices and infrastructure-as-code (IaC) to deploy and maintain data pipelines in production.\n\nMonitor and troubleshoot data pipelines, ensuring performance, reliability, and data quality.\n\nEnforce data governance, security, and compliance best practices across platforms.\n\nQualifications:\nBachelor’s or master’s degree in computer science, Information Systems, Engineering, or a related field.\n\n4-8 years of experience in data engineering with strong knowledge of cloud data platforms.\n\nProficiency in PySpark, Azure Data Factory, Databricks and SQL.\n\nExperience working with Microsoft Fabric or similar unified analytics platforms.\n\nSolid understanding of data lakehouse and data warehouse architectures.\n\nSolid understanding of Data modeling concepts.\n\nExperience with Delta Lake, Synapse Analytics, and other Azure analytics services.\n\nFamiliarity with CI/CD pipelines, version control (e.g., Git), and deployment automation tools (e.g., Azure DevOps, GitHub Actions).\n\nStrong problem-solving skills and ability to work across technical and business teams.\n\nGood to have power bi and semantic model development experience.\n\nJob Type:\nRegularShift:\nShift 1 (India)Primary Location:\nBengaluru, Karnataka, IndiaAdditional Locations:\nPosting Statement:\nAll qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or 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