{"id":1253418,"url":"https://alion.io/job/wowjobs-azure-data-engineer","title":"Azure Data Engineer","company":{"id":3800240,"name":"WowJobs","domain":"wowjobs.biz","url":"https://alion.io/company/wowjobs-2","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":null,"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":["Bengaluru, India","Gurgaon, India","Pune, India","Noida, India","Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":27000,"max_usd":57000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":9},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Azure DevOps","optional":true},{"name":"CI/CD","optional":true},{"name":"Databricks","optional":true},{"name":"DataStage","optional":true},{"name":"Power BI","optional":true},{"name":"pySpark","optional":true},{"name":"Spark","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-09-10T05:54:45Z","employer_posted_date":null,"last_verified_at":"2026-09-10T05:54:45Z","board_verified":false,"closed_at":null,"days_open":16,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":16},"description":"About the Role :\n\nWe are looking for an experienced Azure Data Engineer with strong hands-on expertise in Azure Data Factory, Snowflake, DBT, SQL and Python. The candidate will be responsible for designing, developing and optimizing scalable ETL/ELT data pipelines and cloud data solutions.\n\nKey Responsibilities :\n\n- Design, develop and maintain scalable ETL/ELT pipelines using Azure Data Factory (ADF).\n\n- Build and manage data ingestion and integration pipelines into Snowflake.\n\n- Develop and maintain DBT models, transformations, tests and data-quality checks.\n\n- Write complex and optimized SQL queries for data transformation, validation and performance improvement.\n\n- Use Python for data processing, automation and pipeline-related development.\n\n- Monitor, troubleshoot and optimize data pipelines for reliability and performance.\n\n- Work with business stakeholders and analysts to understand requirements and translate them into technical solutions.\n\n- Implement data quality, validation, governance and documentation standards.\n\n- Participate in code reviews, deployment activities and production support.\n\n- Collaborate with Data Architects, Analysts, DevOps and other engineering teams.\n\nMandatory Skills :\n\n- Azure Data Factory (ADF)\n\n- Snowflake\n\n- DBT (Data Build Tool)\n\n- SQL\n\n- Python\n\nGood to Have :\n\n- Azure Data Lake Storage Gen2 (ADLS), Azure Synapse Analytics, Azure Functions, Databricks / PySpark, CI/CD and Azure DevOps, Data Governance, Power BI / Tableau, DataStage / Netezza, Insurance domain experience.\n\nCandidate Requirements :\n\n- Minimum 5 - 10 years of overall Data Engineering experience.\n\n- Strong hands-on experience in Azure data engineering and cloud-based data platforms.\n\n- Experience designing and supporting production-grade ETL/ELT pipelines.\n\n- Strong analytical and problem-solving skills.\n\n- Good communication and stakeholder-management skills.\n\nSkills\nData Engineering, Snowflake DB, ETL, Data Build Tool, SQL, Data Pipeline, Cloud, Data Ingestion, Data Integration, Python","description_format":"text","description_chars":2023,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-25T18:04:06Z"}],"liveness":{"score":31,"band":"fade","label":"Fading","p_open":0.85,"p_active":0.4,"p_room":0.9,"age_days":15,"expected_fill_days":24,"reasons":["seen:15","agency","win:mid"],"computed_at":"2026-09-26T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/wowjobs-azure-data-engineer","json_url":"https://alion.io/job/wowjobs-azure-data-engineer.json","meta":{"generated_at":"2026-09-27T00:53:12Z","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":797,"day_limit":5000,"remaining_today":4203,"minute_limit":60,"resets_at":"2026-09-28T00:00:00Z"}}}