{"id":3315774,"url":"https://alion.io/job/merck-group-analyst-2","title":"Analyst","company":{"id":64563,"name":"Merck Group","domain":"merckgroup.com","url":"https://alion.io/company/merckgroup","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Phenom","truth_index":{"grade":"A","score":97,"open_postings":18,"ghost_share":0,"stale_share":0.111,"repost_share":0,"time_to_fill_p50_days":22,"computed_at":"2026-10-27T05:46:45Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":17000,"max_usd":34000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":25},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Data Vault","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"AWS","optional":true}],"status":"live","first_seen_at":"2026-10-27T05:25:03Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-10-27T09:57:38Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Key Accountabilities\nDevelop and maintain complex data pipelines and ETL processes in Snowflake.\nWrite efficient and optimized SQL queries for data extraction, transformation, and loading.\nUtilize Python for advanced data processing, automation tasks, and integration with other systems.\nImplement and oversee data modelling techniques, including OLTP, OLAP, and Data Vault 2.0 methodologies.\nCollaborate with data architects, analysts, and stakeholders to design optimal and scalable data solutions.\nManage and optimize CI/CD pipelines using Azure DevOps for seamless deployment of data solutions.\nEnsure data quality, integrity, and compliance throughout the data lifecycle.\nTroubleshoot, optimize, and enhance existing data processes and queries for performance improvements.\nDocument data models, processes, and workflows clearly for future reference and knowledge sharing.\nPerformance Tuning: Implement advanced techniques for performance tuning methodologies in Snowflake to optimize query performance and reduce data processing time.\nDBT Development: Develop and maintain DBT models, macros, and tests for managing data transformations in Snowflake.\nVersion Control Management: Manage version control using Git repositories, enabling seamless code management and collaboration.\nCI/CD Pipeline Development & Automation: Design, implement, and maintain automated CI/CD pipelines using Azure DevOps for Snowflake and DBT deployment processes.\nImpacts the effectiveness of own work team through the quality and timeliness of the work produced.\nLargely works within standardized procedures and practices to achieve objectives and meet deadlines and gains some discretion in problem solving.\nQualifications\nBachelor's/master's degree in computer science, Information Technology, or a related field.\nExperience\nMinimum of 5 years of proven experience as a Snowflake Developer or in a similar data engineering role.\nExtensive hands-on experience with SQL and Python, demonstrating proficiency in data manipulation and analysis.\nSignificant industry experience working with DBT (Data Build Tool) for data transformation.\nStrong familiarity with CI/CD pipelines, preferably in Azure DevOps.\nDeep understanding of data modelling techniques ( OLTP, OLAP ) and best practices.\nCANDIDATE'S PROFILE\nWork Experience\nMinimum of 5 years of proven experience as a Snowflake Developer or in a similar data engineering role.\nExtensive hands-on experience with SQL and Python, demonstrating proficiency in data manipulation and analysis.\nSignificant industry experience working with DBT ( Data Build Tool ) for data transformation.\nStrong familiarity with CI/CD pipelines, preferably in Azure DevOps.\nDeep understanding of data modelling techniques (OLTP, OLAP, DBT) and best practices.\nPreferred Qualifications:\nExperience in working with large datasets and performance tuning in Snowflake.\nFamiliarity with data governance, data security best practices, and compliance standards.\nKnowledge of additional data technologies ( e.g., AWS, Azure ) is a plus.\nExperience in leading projects or mentoring junior developers is advantageous.","description_format":"text","description_chars":3119,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Prescription Drugs","Advanced Materials","Laboratory Equipment","Chemical Manufacturing"],"lifecycle":[{"event":"open","at":"2026-10-27T05:25:03Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring 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