{"id":4064581,"url":"https://alion.io/job/elementskill-senior-data-engineer-aws","title":"Senior Data Engineer - AWS","company":{"id":3800260,"name":"ElementSkill","domain":"elementskill.com","url":"https://alion.io/company/elementskill","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":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India","Ahmedabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Glue","optional":false},{"name":"AWS Lambda","optional":false},{"name":"GCP","optional":false},{"name":"Python","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-11-11T09:31:26Z","employer_posted_date":null,"last_verified_at":"2026-11-11T09:31:26Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"About the Role:\n\nWe are seeking a highly skilled Senior Data Engineer with strong hands-on experience in AWS Cloud, cloud infrastructure, data ingestion, and Python. The ideal candidate will have a proven track record of designing and implementing scalable data platforms, organizing GCP environments to meet data sovereignty requirements, and building secure and reliable data ingestion and transfer solutions.\n\nKey Responsibilities:\n\n1. AWS Cloud Engineering:\n\n- Work with AWS services such as S3, Glue, Lambda, Redshift, and CloudWatch to build and operate data solutions.\n\n- Apply appropriate security, access-control, and cloud data management practices.\n\n- Optimize cloud workloads for performance, reliability, and cost.\n\n2. Data Ingestion & Pipeline Engineering:\n\n- Design and implement robust data ingestion pipelines for structured and unstructured data sources.\n\n- Build production-grade ingestion frameworks to reliably process and move data into GCP or similar storage.\n\n- Develop scalable and fault-tolerant data pipelines with appropriate validation, monitoring, and error handling.\n\n- Optimize data ingestion workflows for performance, reliability, and cost.\n\n- Ensure data pipelines maintain data quality, integrity, and traceability throughout the ingestion process.\n\n3. Python Development & Automation:\n\n- Develop production-grade data engineering applications and automation using Python.\n\n- Build reusable libraries, services, and utilities to support data ingestion and processing workflows.\n\n- Automate infrastructure and data engineering processes to improve operational efficiency.\n\n- Implement appropriate logging, monitoring, error handling, and testing for Python-based services and pipelines.\n\n4. Collaboration & Ownership:\n\n- Work closely with Data Engineers, Software Engineers, Cloud/Infrastructure Engineers, Security teams, and business stakeholders.\n\n- Take ownership of technical initiatives from architecture and design through production deployment and ongoing support.\n\nRequirements:\n\n- 5+ years of experience in Data Engineering, Cloud Engineering, or a related field.\n\n- Strong hands-on experience with AWS.\n\n- Proven experience designing and implementing AWS architecture and infrastructure for data workloads.\n\n- Good understanding of AWS services.\n\n- Experience with cloud networking, security, authentication, authorization, and access control.\n\n- Experience with infrastructure automation and Infrastructure as Code (IaC), preferably Terraform.\n\n- Strong understanding of data quality, monitoring, observability, and production operational best practices.\n\n- Experience organizing GCP environments to meet data sovereignty and data residency requirements.\n\n- Strong experience building data ingestion pipelines and data processing workflows.\n\n- Hands-on experience designing and implementing secure data transfer and proxy solutions.\n\n- Strong proficiency in Python and experience building production-grade applications and data pipelines.\n\n- Excellent communication skills and ability to work independently with minimal supervision.\n\nSkills\nData Engineering, Python, AWS, Terraform, Redshift, Cloud, Data Ingestion, AWS Glue, AWS Lambda","description_format":"text","description_chars":3183,"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":["Recruiting & 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