{"id":1252098,"url":"https://alion.io/job/funic-tech-private-limited-senior-data-engineer","title":"Senior Data Engineer","company":{"id":3800661,"name":"FUNIC TECH PRIVATE LIMITED","domain":"funictech.com","url":"https://alion.io/company/funic-tech-private-limited","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":{"grade":"D","score":40,"open_postings":13,"ghost_share":1,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-01T05:45:00Z"}},"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":["Pune, 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":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"Dagster","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Kubernetes","optional":false},{"name":"Prefect","optional":false},{"name":"Python","optional":false},{"name":"Amazon Kinesis","optional":true},{"name":"Apache Kafka","optional":true},{"name":"C++","optional":true},{"name":"ElasticSearch","optional":true},{"name":"Go","optional":true},{"name":"Grafana","optional":true},{"name":"Java","optional":true},{"name":"Knowledge Graph","optional":true},{"name":"Logstash","optional":true},{"name":"OpenSearch","optional":true},{"name":"Prometheus","optional":true},{"name":"Prompt Engineering","optional":true},{"name":"RAG","optional":true},{"name":"Rust","optional":true}],"status":"live","first_seen_at":"2026-09-16T04:48:12Z","employer_posted_date":null,"last_verified_at":"2026-09-16T04:48:12Z","board_verified":false,"closed_at":null,"days_open":15,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":15},"description":"Role: Senior Data Engineer\n\nExperience: 7+ Years\n\nLocation: Pune\n\nJoining: Immediate to 30 Days' Notice Period\n\nRole Summary:\n\nWe are looking for a skilled Sr. Data Engineer with strong expertise in Python and cloud-native technologies to design, develop, and maintain scalable data pipelines and distributed systems. The ideal candidate should have hands-on experience with ETL/ELT pipelines, workflow orchestration, AWS cloud services, data visualization, distributed architectures, and modern data engineering practices.\n\nKey Responsibilities:\n\n- Design, develop, and maintain scalable ETL/ELT data pipelines.\n\n- Build and manage distributed and event-driven architectures for large-scale data processing.\n\n- Develop backend services and data infrastructure using Python.\n\n- Implement DAG-based workflow orchestration using Airflow, Prefect, or Dagster.\n\n- Work with AWS services including Lambda, S3, ECS/EKS, SQS, and CloudWatch.\n\n- Design and optimize data models and schema structures.\n\n- Develop analytics dashboards and reporting solutions using Amazon QuickSight.\n\n- Implement CI/CD pipelines and Infrastructure as Code (IaC).\n\n- Monitor and maintain data platforms using observability and monitoring tools.\n\n- Collaborate with Data Scientists, ML Engineers, and Backend Developers.\n\n- Support AWS cloud migration and modernization initiatives.\n\nMandatory Skills:\n\n- Strong proficiency in Python.\n\n- Experience with Docker and Kubernetes.\n\n- Strong understanding of distributed and event-driven architectures.\n\n- Hands-on experience building ETL/ELT pipelines.\n\n- Strong knowledge of data modeling and schema design.\n\n- Experience with Airflow, Prefect, or Dagster.\n\n- Hands-on experience with AWS Lambda, S3, ECS/EKS, SQS, and CloudWatch.\n\n- Experience with CI/CD and Infrastructure as Code (IaC).\n\n- Hands-on experience with Amazon QuickSight for dashboards, reporting, and analytics.\n\nGood to Have:\n\n- AWS Application Migration Service (MGN/AMC) or similar migration technologies.\n\n- Logstash or other data ingestion frameworks.\n\n- OpenSearch / Elasticsearch.\n\n- Kafka / Kinesis and streaming technologies.\n\n- Prometheus, Grafana, or ELK Stack.\n\n- MLOps lifecycle knowledge.\n\n- Vector databases and embedding pipelines.\n\n- Large-scale indexing and search optimization.\n\n- RAG, Natural Language Search, GenAI, knowledge graphs, prompt engineering, and embedding models.\n\n- Knowledge of Golang, Rust, Java, C/C++, or other compiled languages.\n\nSkills\nPython, AWS, ETL, Data Modeling, Data Engineering, Data Pipeline, Distributed Systems, Data Infrastructure, Application Migration","description_format":"text","description_chars":2591,"description_truncated":false,"requirements":{"experience_years_min":7,"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":["Commerce","Design & Creative","Web Design"],"lifecycle":[{"event":"open","at":"2026-09-25T18:04:06Z"}],"liveness":{"score":38,"band":"fade","label":"Fading","p_open":0.85,"p_active":0.496,"p_room":0.9,"age_days":15,"expected_fill_days":24,"reasons":["seen:15","stale_co","velocity","win:mid"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/funic-tech-private-limited-senior-data-engineer","json_url":"https://alion.io/job/funic-tech-private-limited-senior-data-engineer.json","meta":{"generated_at":"2026-10-02T02:34:08Z","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":3457,"day_limit":5000,"remaining_today":1543,"minute_limit":60,"resets_at":"2026-10-03T00:00:00Z"}}}