{"id":1286343,"url":"https://alion.io/job/otelier-senior-data-engineer-aws-snowflake","title":"Senior Data Engineer (AWS & Snowflake)","company":{"id":2820442,"name":"Otelier","domain":"otelier.io","url":"https://alion.io/company/otelier","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Paylocity","truth_index":null},"role":"Data Science","role_family":"Data Science","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":["Ahmedabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":28000,"max_usd":58000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":9},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Aurora","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"DynamoDB","optional":false},{"name":"ETL/ELT","optional":false},{"name":"IAM","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Alation","optional":true},{"name":"Amazon Kinesis","optional":true},{"name":"Apache Kafka","optional":true},{"name":"Collibra","optional":true},{"name":"Cortex","optional":true},{"name":"Hadoop","optional":true},{"name":"Prometheus","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-23T04:42:43Z","employer_posted_date":"2026-09-26","last_verified_at":"2026-09-26T09:39:35Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Description\nData Pipeline Development: Build and maintain efficient, scalable, and reliable pipelines to support analytics and reporting workloads. \n Data Integration: Implement seamless integration across diverse data sources (structured, semi-structured, and unstructured) into Snowflake and AWS-based data platforms (Postgres/Aurora Postgres/Dynamo DB) \nData Governance: Establish and enforce data governance frameworks including metadata management, data lineage, data quality and data entitlement. \n Cloud Engineering: Leverage AWS services (e.g., S3, Glue, Lambda, Redshift, EMR) to design cloud-native data solutions. \nPerformance Optimization: Monitor, troubleshoot and optimize data workflows for speed, scalability, and cost efficiency. \nCollaboration: Partner with data architects, analysts and business stakeholders to translate requirements into technical solutions. \nBest Practices: Drive adoption of engineering best practices, including CI/CD, automation, and Infrastructure-as-Code for data platforms. \n Leveraging AI: Any experience in leveraging AI in execution or implementation of data pipelines and data integration solutions. \nRequirements\n 10-12 years of hands-on experience in data engineering. \nStrong hands-on expertise in Snowflake data modelling, performance tuning, CDC, security and governance (Snowpipe, Dynamic Tables, DBT, Streams, RBAC). \nHands-on experience with AWS services (S3, Glue, Postgres, Redshift, EMR, IAM). \nProficiency in RDBMS concepts, SQL and programming languages such as Python or Scala. \nExperience with ETL/ELT frameworks and workflow orchestration tools ( Snaplogic, Airflow, DBT). \nGood understanding of data governance principles and implementation experience \nFamiliarity with DevOps practices and CI/CD pipelines for data engineering. \nExcellent problem-solving, communication and stakeholder management skills. \nPreferred Qualifications\nExposure to big data technologies (Spark, Hadoop). \nExperience with real-time data streaming (Kafka, Kinesis). \nKnowledge of data cataloging tools (Collibra, Alation). \nExperience of using AI tools (Cloude, Cortex) \nPrior experience in implementing enterprise-scale data modernization initiatives.","description_format":"text","description_chars":2195,"description_truncated":false,"requirements":{"experience_years_min":10,"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":["Professional Services","Sales & Marketing","Hotels & Resorts"],"lifecycle":[{"event":"open","at":"2026-09-26T04:47:29Z"}],"liveness":{"score":80,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.803,"p_room":1,"age_days":4,"expected_fill_days":24,"reasons":["conf:20","win:early"],"computed_at":"2026-09-27T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/otelier-senior-data-engineer-aws-snowflake","json_url":"https://alion.io/job/otelier-senior-data-engineer-aws-snowflake.json","meta":{"generated_at":"2026-09-28T02:55:32Z","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":1782,"day_limit":5000,"remaining_today":3218,"minute_limit":60,"resets_at":"2026-09-29T00:00:00Z"}}}