{"id":1266704,"url":"https://alion.io/job/kimoha-technologies-senior-data-engineer","title":"Senior Data Engineer","company":{"id":3808130,"name":"Kimoha Technologies","domain":"kimohatech.com","url":"https://alion.io/company/kimoha-technologies","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":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Bengaluru, India","Hyderabad, India","Mumbai, India","India"],"countries":["IN"],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":43000,"period":"year","method":"role_seniority_country_cell","sample_n":57},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"CI/CD","optional":false},{"name":"dbt","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Power BI","optional":true}],"status":"live","first_seen_at":"2026-09-03T07:26:27Z","employer_posted_date":null,"last_verified_at":"2026-09-03T07:26:27Z","board_verified":false,"closed_at":null,"days_open":28,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":28},"description":"Snowflake Expert / Senior Data Engineer\n\nLocation : Bangalore | Hyderabad | Mumbai | Remote.\n\nExperience : 6+ Years.\n\nEmployment Type : Full-Time.\n\nRole Overview :\n\nWe are looking for a hands-on Snowflake Expert / Senior Data Engineer to join our data engineering team and take ownership of enterprise-scale data solutions across architecture, development, multi-tenancy implementation, performance optimization, and production support.\n\nThe ideal candidate will have deep expertise in Snowflake, SQL, dbt, Python, and Airflow/Astronomer, along with strong experience in data modeling, security, performance tuning, and designing scalable multi-tenant data architectures.\n\nKey Responsibilities :\n\n- Design, develop, and implement scalable Snowflake data solutions for enterprise environments.\n\n- Design and implement multi-tenant data architectures in Snowflake, ensuring secure tenant isolation, scalability, maintainability, and optimal resource utilization.\n\n- Define appropriate database, schema, role, warehouse, and access-control strategies for multi-tenant environments.\n\n- Implement tenant-level data isolation, RBAC, masking policies, row-level security, and secure access patterns.\n\n- Design solutions that support onboarding of new tenants with minimal manual intervention while maintaining consistent governance and security.\n\n- Build and optimize complex SQL queries, tables, views, stored procedures, and data pipelines.\n\n- Design and maintain raw, curated, dimensional, and reporting/data-mart layers.\n\n- Develop robust ELT/ETL transformations using dbt.\n\n- Build, orchestrate, monitor, and support data pipelines using Apache Airflow / Astronomer.\n\n- Perform Snowflake query, warehouse, performance, and cost optimization, including optimization strategies for multi-tenant workloads.\n\n- Implement and manage Snowflake Streams, Tasks, Dynamic Tables, Snowpark, and Secure Data Sharing.\n\n- Design and maintain enterprise RBAC, masking policies, row-level security, and data-access controls.\n\n- Troubleshoot and resolve production, performance, data-quality, and pipeline issues.\n\n- Establish monitoring and operational practices to identify tenant-specific performance, data-quality, and resource-utilization issues.\n\n- Conduct technical and code reviews while ensuring engineering best practices.\n\n- Provide technical guidance and mentorship to other data engineers.\n\n- Collaborate with architects, analysts, business stakeholders, and engineering teams to deliver reliable and scalable data solutions.\n\nRequired Skills & Experience :\n\n- 6+ years of experience in Data Engineering / Data Warehousing.\n\n- 4+ years of strong hands-on Snowflake experience in enterprise environments.\n\n- Expert-level knowledge of SQL and Snowflake performance tuning.\n\n- Strong experience designing and implementing multi-tenant data architectures.\n\n- Strong understanding of tenant isolation, security boundaries, RBAC, row-level security, and data governance.\n\n- Strong hands-on experience with dbt, Python, and Airflow/Astronomer.\n\n- Strong understanding of ETL/ELT, data modeling, dimensional modeling, and data warehouse architecture.\n\n- Experience with Snowflake security, RBAC, data sharing, masking, and access controls.\n\n- Strong understanding of Snowflake cost optimization, warehouse sizing, workload management, and resource utilization.\n\n- Experience with Git/GitHub, CI/CD, and DevOps practices.\n\n- Strong analytical, troubleshooting, and problem-solving skills.\n\n- Ability to independently own solutions from architecture and design through development, optimization, deployment, and production support.\n\nPreferred Qualifications :\n\n- Snowflake certification.\n\n- Experience working with large-scale enterprise Snowflake environments.\n\n- Proven experience implementing multi-tenant SaaS/data platforms.\n\n- Experience designing scalable tenant onboarding and provisioning frameworks.\n\n- Experience in Financial Services, Mortgage, Banking, or Capital Markets.\n\n- Exposure to Sigma, Power BI, Monte Carlo, Sifflet, or similar data/BI/observability platforms.\n\n- Experience designing highly scalable, secure, and governed cloud data platforms.\n\nSkills\nData Engineering, Snowflake DB, SQL, ETL, Data Pipeline, Data Warehousing, Python, Data Build Tool, Apache Airflow, Data Modeling","description_format":"text","description_chars":4289,"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":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-25T22:00:00Z"}],"liveness":{"score":42,"band":"fade","label":"Fading","p_open":0.85,"p_active":0.656,"p_room":0.75,"age_days":27,"expected_fill_days":30,"reasons":["seen:27","velocity","win:late"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/kimoha-technologies-senior-data-engineer","json_url":"https://alion.io/job/kimoha-technologies-senior-data-engineer.json","meta":{"generated_at":"2026-10-01T11:17:56Z","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":2867,"day_limit":5000,"remaining_today":2133,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}