{"id":967736,"url":"https://alion.io/job/brillio-data-specialist-r01569581","title":"Data Specialist - R01569581","company":{"id":3063,"name":"Brillio","domain":"brillio.com","url":"https://alion.io/company/brillio","size_band":"501-1000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":76,"open_postings":43,"ghost_share":0,"stale_share":0.977,"repost_share":0,"time_to_fill_p50_days":29,"computed_at":"2026-10-22T06:10:10Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chennai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":14500,"max_usd":39000,"period":"year","method":"role_country_seniority_unknown","sample_n":166},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Google Bigtable","optional":false},{"name":"Google Cloud Spanner","optional":false},{"name":"Google GKE","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"Databricks","optional":true},{"name":"Git","optional":true},{"name":"Kubernetes","optional":true},{"name":"Looker","optional":true},{"name":"Power BI","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-08-12T06:22:00Z","employer_posted_date":"2026-08-12","last_verified_at":"2026-10-22T18:13:56Z","board_verified":true,"closed_at":null,"days_open":71,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":71},"description":"Lead Data Engineer\nPrimary Skills\nBigTable, Cloud Functions, Cloud Spanner, GKE\nSpecialization\nGCP Data Engineer Advanced: Senior Data Engineer\nJob requirements\nJob Title: Data Engineer - Snowflake, DBT, Python & SQL\nExperience\n5-8 Years\nLocation\nBangalore / Hyderabad / Pune / Chennai / Gurgaon\nJob Summary\nWe are seeking a skilled Data Engineer with strong expertise in Snowflake, DBT, SQL, and Python to design, develop, and maintain scalable data solutions. The ideal candidate will have hands-on experience building modern data pipelines, implementing data warehouse solutions, and enabling analytics through efficient data modeling and transformation practices.\nKey Responsibilities\nDesign, build, and maintain scalable ETL/ELT data pipelines using DBT, SQL, and Python.\nDevelop and optimize Snowflake-based data warehouse solutions for enterprise analytics and reporting.\nCreate robust data models and transformation frameworks to support business requirements.\nImplement data ingestion, cleansing, transformation, and validation processes.\nDevelop and maintain stored procedures, views, and database objects within cloud data platforms.\nOptimize SQL queries, data models, and pipelines for performance and scalability.\nWork closely with business stakeholders, analysts, and engineering teams to translate requirements into technical solutions.\nMonitor data quality and troubleshoot data-related issues across platforms.\nLeverage Snowflake features such as Snowpipe, Time Travel, Zero Copy Cloning, and Fail Safe.\nParticipate in code reviews, testing, deployment, and documentation activities.\nSupport data governance, security, and best practices across the data ecosystem.\nRequired Skills\nSnowflake\nStrong hands-on experience with Snowflake Data Warehouse.\nExperience with:\nSnowpipe\nZero Copy Cloning\nTime Travel\nFail Safe\nSnowSQL\nData Sharing/Data Exchange\nPerformance tuning and optimization of Snowflake workloads.\nDBT\nStrong expertise in DBT (Data Build Tool).\nExperience developing reusable transformation models.\nUnderstanding of DBT testing, documentation, and deployment practices.\nSQL\nAdvanced SQL skills with experience handling large-scale datasets.\nExpertise in query optimization, joins, analytical functions, and performance tuning.\nExperience with stored procedures and database development.\nPython\nStrong Python programming skills for data processing and automation.\nExperience with data engineering frameworks and scripting.\nData Engineering\nStrong understanding of ETL/ELT concepts and modern data architectures.\nExperience in data warehousing and dimensional modeling.\nKnowledge of data governance, data quality, and metadata management.\nPreferred Skills\nExperience with orchestration tools such as Airflow.\nExposure to cloud platforms such as AWS, Azure, or GCP.\nKnowledge of CI/CD practices and Git-based version control.\nExperience with reporting and visualization tools such as Power BI, Tableau, or Looker.\nExposure to AI/GenAI capabilities within data engineering solutions.\nEducational Qualifications\nBachelor's degree in Computer Science, Information Technology, Engineering, or a related field.\nPreferred Certifications\nSnowflake SnowPro Certification\nDBT Certification\nAWS/Azure/GCP Data Engineering Certifications\nDatabricks or Cloud Data Platform Certifications\nPrimary Skills\nSnowflake, DBT, SQL, Python\nSecondary Skills\nData Modeling, ETL/ELT, 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