{"id":1252531,"url":"https://alion.io/job/thinkwise-consulting-senior-data-engineer","title":"Senior Data Engineer","company":{"id":3806720,"name":"Thinkwiseglobal","domain":"thinkwiseglobal.com","url":"https://alion.io/company/thinkwiseglobal","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","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":"explicit","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":20000,"max_usd":41000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":51},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"MLFlow","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-15T06:43:32Z","employer_posted_date":null,"last_verified_at":"2026-09-15T06:43:32Z","board_verified":false,"closed_at":null,"days_open":14,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":14},"description":"Location : Hyderabad, Telangana, India\n\nIndustry : IT Services & Consulting\n\nRole Overview : \n\nWe are hiring a Senior Data Engineer to design, develop, and optimize scalable cloud data platforms and modern ETL/ELT pipelines using Microsoft Fabric, Databricks, or Snowflake. In this role, you will build and maintain data lakehouse and data warehouse solutions, develop high-performance data pipelines, enable analytics and reporting, and drive data engineering best practices.\n\nKey Responsibilities : \n\n1. Pipeline & Architecture Development : \n\n- Design, build, and maintain scalable batch and real-time data pipelines, data models, and ETL/ELT processes using Delta Lake, Apache Spark, Microsoft Fabric, and Snowflake.\n\n2. Data Processing & Optimization : \n\n- Develop high-performance solutions using PySpark, Python, Scala, and SQL to handle large, complex datasets efficiently.\n\n3. Lakehouse & Analytics Support : \n\n- Build data lake, lakehouse, and data warehouse architectures, and support business analytics and self-service reporting through Power BI and DAX modeling.\n\n4. Governance & Reliability : \n\n- Implement data quality, governance, security, and monitoring practices across pipelines while troubleshooting and resolving performance and production issues.\n\n5. DevOps & Collaboration : \n\n- Collaborate with data scientists, analysts, and stakeholders while implementing CI/CD workflows, Git, code reviews, and reusable frameworks.\n\nRequired Qualifications & Skills : \n\n1. Education & Experience : \n\n- Bachelor's/Master's degree in Computer Science, IT, Engineering, or a related field with 6 - 10 years of core data engineering experience.\n\n2. Primary Platforms (at least one) : \n\n- Microsoft Fabric : Data Factory, Lakehouse, Data Warehouse\n\n- Databricks : Spark, Delta Lake, PySpark, MLflow\n\n- Snowflake : Data Warehousing, Snowpipe, Performance Optimization\n\n- Power BI : Data Modeling, DAX, Report Development\n\n3. Core Technical Expertise : \n\n- Strong proficiency in SQL, Python or Scala, PySpark/Apache Spark, and cloud data platforms (Azure, AWS, or GCP).\n\n4. Architecture & Delivery : \n\n- Deep understanding of data modeling, data governance, security, and CI/CD/DevOps practices.\n\n5. Key Skills : \n\n- Data Engineering, PySpark, Python, SQL, Microsoft Fabric, Databricks, Snowflake, Power BI, Delta Lake, ETL/ELT, Cloud Data Platforms (AWS/Azure/GCP), CI/CD\nSkills\nData Engineering, ETL, Snowflake DB, Microsoft Fabric, DataLake, Data Warehousing, PySpark, Python, Scala, SQL, Data Modeling","description_format":"text","description_chars":2511,"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":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-25T18:04:06Z"}],"liveness":{"score":69,"band":"ok","label":"Likely open","p_open":1,"p_active":0.768,"p_room":0.9,"age_days":13,"expected_fill_days":23,"reasons":["seen:13","velocity","win:mid"],"computed_at":"2026-09-29T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/thinkwise-consulting-senior-data-engineer","json_url":"https://alion.io/job/thinkwise-consulting-senior-data-engineer.json","meta":{"generated_at":"2026-09-30T02:13:49Z","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":1562,"day_limit":5000,"remaining_today":3438,"minute_limit":60,"resets_at":"2026-10-01T00:00:00Z"}}}