{"id":1511193,"url":"https://alion.io/job/smartwork-it-services-lead-azure-data-engineer","title":"Lead Azure Data Engineer","company":{"id":3808984,"name":"SMARTWORK IT SERVICES","domain":"smartworkitservices.com","url":"https://alion.io/company/smartwork-it-services","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Gurgaon, India","Pune, India","Hyderabad, India","Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":27000,"max_usd":48000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":16},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Azure","optional":false},{"name":"Azure Cosmos DB","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"JavaScript","optional":false},{"name":"MuleSoft","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Apex","optional":true}],"status":"live","first_seen_at":"2026-09-30T06:28:30Z","employer_posted_date":null,"last_verified_at":"2026-09-30T06:28:30Z","board_verified":false,"closed_at":null,"days_open":4,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":4},"description":"Job Summary :\n\nLead Azure Data Engineer with 5+ years of experience in designing and building scalable data lakes, data warehouses, and ETL pipelines using Azure Data Factory, Azure Databricks, SQL, and Python.\n\nResponsibilities :\n\n- Develop, implement, and maintain the information data lake and use insight platforms to enable decision support systems.\n\n- Partner with business and customers to understand data and reporting requirements.\n\n- Bring data sets together to answer business questions and drive growth.\n\n- Design ETLs to ingest data into the data warehouse and data lake, as well as end-user facing reporting applications.\n\n- Collaborate with business customers and development teams to define requirements and deliver flexible, scalable, end-to-end solutions.\n\n- Work with new technologies while driving business intelligence solutions end-to-end: business requirements, data modelling, ETL, metadata, reporting, and dashboarding.\n\n- Apply expertise in the design, creation, management, and business use of large datasets.\n\n- Define SLA for all areas of ownership.\n\nTech Stack & Requirements:\n\n- Experience with Data modelling, SQL, ETL, Data Warehousing and Data lakes.\n\n- Experience in writing SQL and Python scripts.\n\n- Experience in building dashboards and reports using Microsoft Power BI.\n\n- Experience in transforming data using Azure Data Factory.\n\n- Experience working with Spark and Azure Databricks.\n\n- Ability to balance and prioritize multiple conflicting requirements with high attention to detail.\n\n- Strong verbal/written communication & data presentation skills.\n\n- Familiarity with scripting languages such as Python, PySpark, or JavaScript.\n\n- Knowledge of Azure Databricks and MPP databases.\n\n- Exposure to NoSQL databases (such as Cosmos DB, MongoDB).\n\n- Experience following Agile processes.\n\n- Experience working with distributed version control systems like Git.\n\n- Experience with Mulesoft/Kingswaysoft/Marketo.\n\nSkills\nAzure Data Factory, Azure Databricks, Python, SQL, Spark, Tableau, Data Warehousing, Data Modeling, Data Engineering, 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now","p_open":1,"p_active":0.903,"p_room":1,"age_days":3,"expected_fill_days":24,"reasons":["seen:3","velocity","win:early"],"computed_at":"2026-10-04T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/smartwork-it-services-lead-azure-data-engineer","json_url":"https://alion.io/job/smartwork-it-services-lead-azure-data-engineer.json","meta":{"generated_at":"2026-10-05T00:33:35Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":715,"day_limit":5000,"remaining_today":4285,"minute_limit":60,"resets_at":"2026-10-06T00:00:00Z"}}}