{"id":3046705,"url":"https://alion.io/job/exl-data-engineer-14","title":"Data Engineer","company":{"id":38016,"name":"EXL","domain":"exlservice.com","url":"https://alion.io/company/exl","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":75,"open_postings":240,"ghost_share":0,"stale_share":0.988,"repost_share":0,"time_to_fill_p50_days":27,"computed_at":"2026-11-04T06:34:25Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","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"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":12000,"max_usd":27000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":12},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Informatica","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Databricks","optional":true},{"name":"Dimensional Modeling","optional":true},{"name":"Git","optional":true},{"name":"Google BigQuery","optional":true},{"name":"Rest API","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-08-14T08:41:26Z","employer_posted_date":"2026-08-14","last_verified_at":"2026-11-04T06:55:37Z","board_verified":true,"closed_at":null,"days_open":81,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":81},"description":"We are looking for a motivated Junior Data Engineer with Snowflake experience to support the design, development, and maintenance of modern cloud-based data platforms. The candidate will work closely with senior data engineers, architects, and analytics teams to build scalable data pipelines, perform data transformations, and support enterprise reporting and analytics initiatives.\nThis role is ideal for professionals with hands-on experience in Snowflake, SQL, ETL/ELT development, and cloud-based data engineering.\n Key Responsibilities\nData Engineering\nDevelop and maintain ETL/ELT data pipelines.\nBuild and optimize data ingestion frameworks from multiple source systems.\nCreate data transformation logic using SQL and Snowflake.\nSupport integration of structured and semi-structured data sources.\nAssist in developing reusable data engineering components.\nSnowflake Development\nDevelop and maintain Snowflake databases, schemas, tables, views, and tasks.\nCreate and optimize Snowflake SQL queries.\nSupport data loading using Snowpipe and bulk-loading mechanisms.\nMonitor and troubleshoot Snowflake workloads.\nAssist in performance tuning and cost optimization.\nData Quality & Validation\nPerform data validation and reconciliation activities.\nSupport implementation of data quality checks.\nInvestigate and resolve data issues.\nMaintain data documentation and metadata.\nReporting & Analytics Support\nPrepare analytics-ready datasets.\nSupport data marts and reporting layers.\nWork with BI developers and analysts to provide trusted data assets.\nCollaboration\nParticipate in Agile ceremonies and sprint activities.\nWork with Data Architects, Data Engineers, Business Analysts, and Data Scientists.\nFollow coding standards and development best practices.\n Required Technical Skills\nCore Skills\nSnowflake\nSQL\nData Warehousing Concepts\nETL / ELT Development\nData Modeling Fundamentals\nProgramming\nPython\nSQL\nShell Scripting (Preferred)\nCloud Platforms (Any One)\nAWS\nAzure\nGoogle Cloud Platform\nData Integration Tools\nDBT (Preferred)\nAirflow\nAzure Data Factory\nInformatica (Good to Have)\nInternal profiles reference Snowflake development along with DBT, cloud platforms, and data transformation frameworks.\nPreferred Skills\nSnowflake Streams & Tasks. \nData transformation using DBT. \nUnderstanding of dimensional modeling.\nExperience with Git version control.\nKnowledge of REST APIs and data integration concepts.\nExposure to Databricks, BigQuery, or Spark is a plus. \nQualifications\nBachelor's Degree in Computer Science, Information Technology, Engineering, Mathematics, or related field.\n2-4 years of experience in Data Engineering or Data Warehouse projects.\nPreferred Certifications\nSnowflake SnowPro Associate\nMicrosoft Azure Data Engineer Associate\nAWS Certified Data Engineer\nGoogle Professional Data Engineer\nKey Competencies\nProblem Solving\nAnalytical Thinking\nAttention to Detail\nTeam Collaboration\nCommunication Skills\nLearning 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