{"id":1292805,"url":"https://alion.io/job/clarity-consulting-data-engineer-snowflake","title":"Data Engineer - Snowflake","company":{"id":3806525,"name":"Clarity Consulting","domain":"clarityconsulting.in","url":"https://alion.io/company/clarity-consulting","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","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":22000,"max_usd":44000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":51},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"AWS","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"SSIS","optional":false},{"name":"Teradata","optional":false},{"name":"Azure","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-08-11T11:53:30Z","employer_posted_date":null,"last_verified_at":"2026-08-11T11:53:30Z","board_verified":false,"closed_at":null,"days_open":51,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":51},"description":"Job Description : \n\nWe are looking for an experienced Data Engineer Snowflake to join our team and work on large-scale data engineering, migration, and cloud-based data transformation initiatives. The ideal candidate should have strong hands-on expertise in Snowflake, SSIS, MDX, and data migration, along with exposure to modern data engineering technologies and cloud platforms.\n\nThe role will involve designing and developing scalable data solutions, supporting data migration initiatives, collaborating with cross-functional stakeholders, and contributing to the modernization of enterprise data platforms.\n\nKey Responsibilities : \n\n- Design, develop, and maintain scalable data pipelines and ETL/ELT workflows using Snowflake and related technologies.\n\n- Work extensively with Snowflake, SSIS, and MDX for data integration, transformation, and analytics.\n\n- Lead and contribute to data migration and modernization initiatives from legacy platforms to modern cloud-based data environments.\n\n- Develop efficient SQL queries and optimize data processing and warehouse performance.\n\n- Work with DBT, Databricks, Airflow, Python, and PySpark as part of modern data engineering solutions.\n\n- Collaborate with cloud platforms, particularly AWS, to build and support scalable data solutions.\n\n- Work with Teradata and other enterprise data platforms during migration and integration projects.\n\n- Participate in solution design, technical discussions, and implementation of data engineering best practices.\n\n- Collaborate with business and technical stakeholders to understand requirements and deliver effective data solutions.\n\n- Provide technical guidance to team members and contribute to team-level delivery and best practices.\n\n- Ensure data quality, reliability, security, and performance across data pipelines and platforms.\n\nMust-Have Skills - Proficient : \n\n- Snowflake\n\n- SSIS\n\n- MDX\n\n- Data Migration\n\nMust-Have Skills - Exposure : \n\n- DBT\n\n- Cloud Technologies\n\n- Databricks\n\n- Apache Technologies\n\n- SQL\n\n- Python\n\n- PySpark\n\n- AWS\n\n- Teradata\n\n- Airflow\n\n- Team Leadership\n\n- Stakeholder Management\n\nGood to Have : \n\n- SnowPro Core Certification - Required\n\n- SnowPro Advanced Certification - Preferred\n\nCandidate Profile : \n\n- 6-8 years of relevant experience in Data Engineering.\n\n- Strong hands-on experience with Snowflake and enterprise data migration projects.\n\n- Good understanding of modern data engineering and cloud technologies.\n\n- Strong analytical, problem-solving, and communication skills.\n\n- Ability to work effectively with technical teams and business stakeholders.\n\n- Candidates who are immediate joiners, currently serving their notice period, or available within 30 days will be considered.\nSkills\nData Engineering, Snowflake DB, AWS, Python, ETL, Data Migration, SSIS, Data Warehousing, SQL, Azure Databricks","description_format":"text","description_chars":2840,"description_truncated":false,"requirements":{"experience_years_min":6,"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":[],"lifecycle":[{"event":"open","at":"2026-09-26T08:01:01Z"}],"liveness":{"score":4,"band":"cold","label":"Long shot","p_open":0.4,"p_active":0.302,"p_room":0.35,"age_days":50,"expected_fill_days":24,"reasons":["seen:50","agency","win:tail"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/clarity-consulting-data-engineer-snowflake","json_url":"https://alion.io/job/clarity-consulting-data-engineer-snowflake.json","meta":{"generated_at":"2026-10-01T18:06:22Z","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":344,"day_limit":5000,"remaining_today":4656,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}