{"id":3619235,"url":"https://alion.io/job/tech-mahindra-ms-fabric-data-engineer","title":"MS Fabric Data Engineer","company":{"id":5484,"name":"Tech Mahindra","domain":"techmahindra.com","url":"https://alion.io/company/tech-mahindra","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","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":"structured","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon S3","optional":false},{"name":"AWS","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":"GCP","optional":false},{"name":"Git","optional":false},{"name":"pySpark","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Azure","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-11-02T17:41:36Z","employer_posted_date":"2026-11-02","last_verified_at":"2026-11-03T17:22:46Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Job Description\n\nSkill Set :\nData Fabric\n\nTotal Experience :\n7.00 to 10.00 Years\n\nNo of Openings :\n1\n\nJob Post Date :\n06/10/2026\n\nJob Expiry Date :\n30/11/2026\n\nDomain :\nIT\n\nLocation :\nPUNE [India]\n\nJob Reference No :\n4111154\n\nJob Summary\nJob Title: Senior Data Engineer\nLocation: TechM Pune Hinjewadi Plot 1\nYears of Experience: 5 7 Years\nJob Summary:\nWe are seeking a highly skilled and hands on Senior Data Engineer to lead an offshore engineering pod. The ideal candidate will possess extensive experience in building and tuning data pipelines using Fabric Data Factory, orchestrating workloads through Fabric Airflow, and managing Lakehouse and Warehouse items in OneLake. You will be responsible for configuring shortcuts to ADLS Gen2, AWS S3, and GCP Cloud Storage, with a solid understanding of caching and egress behavior.\nResponsibilities:\nLead the offshore engineering pod, providing mentorship and guidance to team members.\nDesign, build, and optimize data pipelines in Fabric Data Factory.\nOrchestrate workloads using Fabric Airflow to ensure efficient data processing.\nManage Lakehouse and Warehouse items in OneLake, including configuration of shortcuts to various cloud storage solutions.\nImplement and maintain Direct Lake semantic model configurations and Oracle mirroring setups.\nUtilize Spark, PySpark, SQL, T SQL, and Delta Lake for data processing and transformation.\nConduct interoperability testing with Databricks and Snowflake to ensure seamless integration.\nUtilize Azure DevOps and Git for version control and CI/CD of Fabric artifacts.\nMonitor consumption using the Fabric Capacity Metrics app and perform disciplined benchmarking.\nDocument technical processes and maintain clean technical documentation.\nCoordinate across time zones with an onsite architect to ensure project alignment.\nMandatory Skills:\nStrong experience with Data Fabric technologies.\nProficient in building and tuning pipelines in Fabric Data Factory.\nHands on experience with Fabric Airflow for workload orchestration.\nExpertise in managing Lakehouse and Warehouse items in OneLake.\nSolid understanding of cloud storage solutions: ADLS Gen2, AWS S3, and GCP Cloud Storage.\nProficient in Spark, PySpark, SQL, T SQL, and Delta Lake.\nExperience with Direct Lake semantic model configuration and Oracle mirroring setup.\nFamiliarity with Databricks and Snowflake for interoperability testing.\nFluency in Azure DevOps and Git for version control and CI/CD.\nExperience using the Fabric Capacity Metrics app for monitoring.\nPreferred Skills:\nExperience in mentoring and leading engineering teams.\nStrong analytical and problem solving skills.\nExcellent communication skills, both verbal and written.\nAbility to work effectively across different time zones.\nQualifications:\nBachelor's degree in Computer Science, Information Technology, or a related field.\n5 7 years of experience in data engineering or a related role.\nProven track record of successfully leading data engineering projects.","description_format":"text","description_chars":2981,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Information Technology","Professional Services","Systems Integrators","Business Process Outsourcing (BPO)"],"lifecycle":[{"event":"open","at":"2026-11-02T17:41:36Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring 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