{"id":3327138,"url":"https://alion.io/job/xtag-services-snowflake-developer-data-engineering","title":"Snowflake Developer - Data Engineering","company":{"id":3800680,"name":"xTag Services","domain":"xtagservices.com","url":"https://alion.io/company/xtag-services","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"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":14500,"max_usd":39000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":21},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Cortex","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Prometheus","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-27T10:13:26Z","employer_posted_date":null,"last_verified_at":"2026-10-27T10:13:26Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"JOB DESCRIPTION:\n\nPosition: Snowflake Developer\n\nLocation: Bengaluru\n\nWork Mode: Work From Office (WFO)\n\nExperience: 4 - 8 Years\n\nEmployment Type: Full-Time Employment (FTE)\n\nNotice Period: Immediate to 15 Days\n\nJob Summary:\n\nWe are looking for an experienced Snowflake Developer with strong expertise in Snowflake, SQL, dbt, and modern data engineering technologies. The ideal candidate will be responsible for designing, developing, and maintaining scalable data pipelines, building efficient ELT workflows, optimizing Snowflake performance, and ensuring data quality across enterprise data platforms.\n\nKey Responsibilities:\n\n- Design, develop, and maintain scalable data pipelines and data solutions using Snowflake.\n\n- Develop and manage dbt models, tests, and documentation for reliable data transformation and modeling.\n\n- Build, maintain, and optimize ETL and ELT workflows for efficient data ingestion and processing.\n\n- Perform Snowflake performance tuning, query optimization, and workload management.\n\n- Implement data quality checks, validation processes, and data governance standards.\n\n- Collaborate with business stakeholders, data engineers, analysts, and other technical teams to deliver data solutions.\n\n- Work with cloud platforms such as AWS and Azure to support data engineering workflows.\n\n- Use Python or PySpark for data processing and related engineering tasks.\n\n- Follow version control, CI/CD practices, and Agile methodologies throughout the development lifecycle.\n\n- Explore Snowflake Cortex AI capabilities to support analytics and Generative AI use cases.\n\nRequired Skills and Qualifications:\n\n- 4 or more years of hands-on experience working with Snowflake.\n\n- Strong proficiency in SQL and solid understanding of data warehousing concepts.\n\n- Hands-on experience with dbt for data transformation, modeling, testing, and documentation.\n\n- Experience developing and maintaining ETL/ELT pipelines and data ingestion processes.\n\n- Knowledge of AWS and/or Azure cloud platforms.\n\n- Proficiency in Python or PySpark.\n\n- Experience with Snowflake performance tuning and query optimization.\n\n- Familiarity with Git, CI/CD pipelines, and Agile methodologies.\n\nGood to Have:\n\n- Experience with Snowflake Cortex AI features.\n\n- Knowledge of Cortex Analyst, Cortex Search, and Snowflake AI functions.\n\n- Exposure to analytics and Generative AI use cases within modern data platforms.\n\nCandidate Requirements:\n\n- Candidates must be available for a face-to-face interview in Bengaluru on either 31 October or 1 November 2026.\n\n- Candidates should have a notice period ranging from immediate availability to 15 days.\n\n- Candidates must be genuinely interested in the opportunity and ready to attend the walk-in interview.\n\n- Candidates who clear the initial screening will receive an interview call letter from Red Orange.\n\n- It is mandatory to mention Red Orange as the vendor name.\n\nSkills\nData Engineering, SQL, Python, PySpark, AWS, Azure, Snowflake DB, Data Build 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