{"id":1521583,"url":"https://alion.io/job/reflectionsglobal-data-engineering-analytics-lead","title":"Data Engineering & Analytics Lead","company":{"id":3800840,"name":"Reflectionsglobal","domain":"reflectionsglobal.com","url":"https://alion.io/company/reflectionsglobal","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Analytics","role_family":"Analytics","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":["Thiruvananthapuram, India","Kochi, India","India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":18000,"max_usd":40000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":374},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"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":"Git","optional":false},{"name":"LLM","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-30T11:21:40Z","employer_posted_date":null,"last_verified_at":"2026-09-30T11:21:40Z","board_verified":false,"closed_at":null,"days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"Introduction:\n\nWe are looking for a strong Data Engineering & Analytics professional with 10+ years of experience in building data pipelines, data models and analytics solutions, with hands-on expertise in Databricks, SQL, PySpark, Python and Power BI.\n\nResponsibilities:\n\n- Design, develop, and maintain scalable ETL/ELT pipelines using Databricks, PySpark, Python, and Azure Data Factory.\n\n- Build and optimize enterprise-grade data solutions using Databricks Lakehouse architecture and Delta Lake.\n\n- Develop high-performance data transformation workflows and implement data quality controls.\n\n- Create and maintain logical and physical data models to support reporting, analytics, and business intelligence requirements.\n\n- Write and optimize complex SQL queries, stored procedures, views, and data transformation logic.\n\n- Design and implement Medallion Architecture (Bronze, Silver, Gold layers) for modern analytics platforms.\n\n- Develop interactive dashboards, reports, and analytical solutions using Power BI.\n\n- Collaborate with business stakeholders to understand reporting and analytics requirements.\n\n- Ensure data governance, metadata management, and data cataloging best practices are followed.\n\n- Implement performance optimization strategies across data pipelines, Databricks workloads, and reporting solutions.\n\n- Leverage AI/LLM-enabled tools for data analysis, insight generation, and analytics acceleration.\n\n- Work closely with cross-functional teams including Data Architects, Business Analysts, and Product Owners.\n\n- Support CI/CD and version control practices for data engineering solutions.\n\nPrimary Skills:\n\n- Databricks (Delta Lake, Lakehouse, data transformation, performance optimization)\n\n- SQL (advanced queries, joins, window functions, performance tuning, data transformation)\n\n- PySpark (transformations, joins, aggregations, window functions, deduplication, optimization)\n\n- Python\n\n- ETL / ELT Pipeline Development\n\n- Data Modeling & Schema Design\n\n- Power BI (data modelling, dashboards, analytics)\n\n- Azure Data Factory (ADF)\n\n- Data Lake / Lakehouse Architecture / Medallion Architecture\n\n- AI-assisted Data Analysis & Analytics\n\nSecondary Skills:\n\n- ADLS Gen2\n\n- Data Quality & Validation\n\n- Git / Version Control\n\n- CI/CD Fundamentals\n\n- Data Governance / Metadata / Data Cataloguing\n\n- Exposure to Process / Operational Analytics or Process Intelligence is a plus\n\nSkills\nDatabricks, PySpark, Python, SQL, Power BI, Azure Data Factory, Data Engineering, Data Modeling, ETL, DataLake, Analytics","description_format":"text","description_chars":2537,"description_truncated":false,"requirements":{"experience_years_min":10,"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":["Information Technology","IT Consulting & Digital Transformation"],"lifecycle":[{"event":"open","at":"2026-09-30T12:00:00Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":0,"expected_fill_days":40,"reasons":["seen:0","velocity","win:early"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/reflectionsglobal-data-engineering-analytics-lead","json_url":"https://alion.io/job/reflectionsglobal-data-engineering-analytics-lead.json","meta":{"generated_at":"2026-10-02T01:49:47Z","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":2357,"day_limit":5000,"remaining_today":2643,"minute_limit":60,"resets_at":"2026-10-03T00:00:00Z"}}}