{"id":1272392,"url":"https://alion.io/job/sp-staffing-services-senior-azure-data-engineer","title":"Senior Azure Data Engineer","company":{"id":3800220,"name":"SP Staffing Services","domain":"spstaffing.in","url":"https://alion.io/company/sp-staffing-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":"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":{"min_usd":21000,"max_usd":42000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":71},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Glue","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Azure SQL Database","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Hadoop","optional":false},{"name":"IAM","optional":false},{"name":"Jenkins","optional":false},{"name":"Kubernetes","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-02T10:50:20Z","employer_posted_date":null,"last_verified_at":"2026-09-02T10:50:20Z","board_verified":false,"closed_at":null,"days_open":50,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":50},"description":"Key Responsibilities : \n\n- Design, build, and optimize scalable, reliable, and efficient ETL/ELT pipelines for processing large datasets.\n\n- Automate data workflows to ensure real-time and batch data availability.\n\n- Develop and manage data solutions using Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and Azure SQL.\n\n- Work with AWS services such as AWS Glue, Amazon Redshift, Amazon S3, AWS Lambda, and Amazon Athena to build robust data solutions.\n\n- Integrate structured, semi-structured, and unstructured data from multiple sources.\n\n- Create and maintain data models to support analytics and reporting requirements.\n\n- Work closely with Data Scientists, Data Analysts, Software Engineers, and other cross-functional teams.\n\n- Translate business requirements into technical specifications and scalable data solutions.\n\n- Manage IAM roles, policies, and encryption for data at rest and in transit.\n\n- Mentor and guide junior data engineers within the team.\n\n- Apply AI/ML and Generative AI capabilities to data engineering use cases where applicable.\n\n- Monitor and optimize the performance of cloud data pipelines and infrastructure.\n\n- Debug and resolve data-related issues in a timely manner.\n\nRequired Qualifications : \n\n- Bachelor's degree in Computer Science, Engineering, or a related field.\n\n- 6 - 11 years of hands-on experience in cloud data engineering, with strong exposure to Azure and AWS.\n\n- Strong experience with Azure Databricks and AI/ML workloads.\n\n- Proficiency in Python, SQL, and scripting languages for data manipulation and automation.\n\n- Experience with data orchestration tools such as Apache Airflow and relevant cloud services.\n\n- Strong understanding of distributed computing and big data frameworks, including Apache Spark and Hadoop.\n\n- Knowledge of cloud data warehouses such as Azure Synapse Analytics and Snowflake.\n\n- Experience with CI/CD pipelines for data workflows using Jenkins, GitHub Actions, or Azure DevOps.\n\n- Relevant Azure, AWS, and/or Databricks certifications are preferred.\n\n- Familiarity with containerization and orchestration technologies such as Docker and Kubernetes.\n\n- Strong problem-solving skills with the ability to work independently and collaboratively.\n\nPreferred Candidate Profile : \n\n- Strong hands-on experience delivering enterprise-scale cloud data engineering solutions.\n\n- Experience working across both Azure and AWS cloud environments.\n\n- Good understanding of modern data architecture, data governance, security, and cloud best practices.\n\n- Exposure to AI/ML and Generative AI applications within data engineering.\n\n- Strong communication, mentoring, and stakeholder-management skills.\nSkills\nAzure, Data Engineering, ETL, Azure Data Factory, Synapse Analytics, Azure Databricks, Azure SQL, Python, SQL","description_format":"text","description_chars":2799,"description_truncated":false,"requirements":{"experience_years_min":6,"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":["Professional Services","Human Resources","Recruiting & Staffing"],"lifecycle":[{"event":"open","at":"2026-09-26T00:07:01Z"}],"visa":[],"liveness":{"score":11,"band":"cold","label":"Long shot","p_open":0.4,"p_active":0.595,"p_room":0.45,"age_days":49,"expected_fill_days":27,"reasons":["seen:49","velocity","win:tail"],"computed_at":"2026-10-22T06:10:10Z"},"pay":null,"html_url":"https://alion.io/job/sp-staffing-services-senior-azure-data-engineer","json_url":"https://alion.io/job/sp-staffing-services-senior-azure-data-engineer.json","meta":{"generated_at":"2026-10-22T18:26:55Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":1069,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-23T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":3800220},"rest":"https://alion.io/mcp/rest/get_company?id=3800220"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsp-staffing-services-senior-azure-data-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fsp-staffing-services-senior-azure-data-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fsp-staffing-services-senior-azure-data-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/sp-staffing-services-senior-azure-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsp-staffing-services-senior-azure-data-engineer"}]}