{"id":1293158,"url":"https://alion.io/job/acenet-data-engineer","title":"Data Engineer","company":{"id":3812542,"name":"AceNet","domain":"acenet.io","url":"https://alion.io/company/acenet-2","size_band":"51-200","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":"on_site","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":21000,"max_usd":42000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":51},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Glue","optional":false},{"name":"ETL/ELT","optional":false},{"name":"IAM","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Airflow","optional":true},{"name":"CI/CD","optional":true},{"name":"dbt","optional":true},{"name":"Python","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-08-07T11:07:47Z","employer_posted_date":null,"last_verified_at":"2026-08-07T11:07:47Z","board_verified":false,"closed_at":null,"days_open":53,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":53},"description":"Job Description : \n\nJob Summary : \n\nWe are seeking a skilled Snowflake Data Engineer with 58 years of experience in data engineering and cloud-based data warehousing. The ideal candidate will have strong expertise in Snowflake, SQL, and AWS, with hands-on experience in designing scalable data pipelines, optimizing data warehouse performance, and building robust ETL/ELT solutions.\n\nKey Responsibilities : \n\n- Design, develop, and maintain scalable data warehouse solutions using Snowflake.\n\n- Build and optimize ETL/ELT pipelines for structured and semi-structured data.\n\n- Develop complex SQL queries, stored procedures, views, and data transformations.\n\n- Implement data ingestion using Snowpipe, COPY INTO, Streams, Tasks, and CDC frameworks.\n\n- Optimize Snowflake performance through clustering, query tuning, and warehouse optimization.\n\n- Integrate Snowflake with AWS services such as S3, Glue, and IAM Roles.\n\n- Ensure data quality, governance, security, and reliability across data platforms.\n\n- Collaborate with cross-functional teams to understand business requirements and deliver scalable data solutions.\n\n- Troubleshoot production issues and recommend performance improvements.\n\nRequired Skills : \n\n- 58 years of experience in Data Engineering or Data Warehousing.\n\n- Strong hands-on experience with Snowflake Data Warehouse.\n\n- Advanced SQL skills, including query optimization, stored procedures, CTEs, and window functions.\n\n- Experience building ETL/ELT pipelines and implementing CDC solutions.\n\n- Strong understanding of Snowflake architecture, micro-partitions, clustering, caching, and performance tuning.\n\n- Experience with Snowpipe, Streams, Tasks, COPY INTO, and data loading techniques.\n\n- Hands-on experience with AWS services such as S3, IAM Roles, and AWS Glue.\n\n- Knowledge of data modeling and data warehouse best practices.\n\n- Experience working in Agile environments.\n\nPreferred Skills : \n\n- Python or Shell scripting.\n\n- Experience with dbt, Apache Airflow, or similar orchestration tools.\n\n- Exposure to CI/CD and DevOps practices.\n\n- Knowledge of data governance and monitoring frameworks.\n\n- Familiarity with Terraform and real-time/streaming data architectures.\n\nWhy Join Us : \n\n- Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.\n\n- Continuous investment in employee growth and professional development with a strong focus on up & re-skilling.\n\n- Competitive compensation & benefits, ESOPs and international assignments.\n\n- Supportive environment with healthy work-life balance and a focus on employee well-being.\n\n- Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.\nSkills\nData Engineering, Snowflake DB, Data Warehousing, ETL, Data Ingestion, Data Quality, Data Governance, CDC, Data Modeling","description_format":"text","description_chars":2895,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Professional development"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-26T08:01:01Z"}],"liveness":{"score":13,"band":"cold","label":"Long shot","p_open":0.4,"p_active":0.609,"p_room":0.55,"age_days":52,"expected_fill_days":42,"reasons":["seen:52","win:tail"],"computed_at":"2026-09-29T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/acenet-data-engineer","json_url":"https://alion.io/job/acenet-data-engineer.json","meta":{"generated_at":"2026-09-30T01:16:48Z","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":801,"day_limit":5000,"remaining_today":4199,"minute_limit":60,"resets_at":"2026-10-01T00:00:00Z"}}}