{"id":1285197,"url":"https://alion.io/job/httpswww-linkedin-comcompanyhire3-global-senior-data-engineer","title":"Senior Data Engineer","company":{"id":3800189,"name":"https://www.linkedin.com/company/hire3-global/","domain":"hire3global.com","url":"https://alion.io/company/httpswww-linkedin-comcompanyhire3-global","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":["Bengaluru, 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Learning","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-08-17T10:44:20Z","employer_posted_date":null,"last_verified_at":"2026-08-17T10:44:20Z","board_verified":false,"closed_at":null,"days_open":44,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":44},"description":"Role : Senior Data Engineer (AWS, Python/Java) / Immediate joiners only\n\nLocation : Bengaluru\n\nWork Mode : Onsite 5 days\n\nCompensation : 25 LPA to 42 LPA\n\nRoles & Responsibilities : \n\nThis role offers an exciting opportunity to work on diverse projects, collaborating with cross functional teams to design, build, and optimize data pipelines and infrastructure.\n\nResponsibilities : \n\n- Design, develop, and maintain scalable data pipelines and ETL processes leveraging AWS services such as S3, Glue, EMR, Lambda, and Redshift.\n\n- Collaborate with data scientists and analysts to understand data requirements and implement solutions that support analytics and machine learning initiatives.\n\n- Optimize data storage and retrieval mechanisms to ensure performance, reliability, and cost-effectiveness.\n\n- Implement data governance and security best practices to ensure compliance and data integrity.\n\n- Troubleshoot and debug data pipeline issues, providing timely resolution and proactive monitoring.\n\n- Stay abreast of emerging technologies and industry trends, recommending innovative solutions to enhance data engineering capabilities.\n\nIdeal Candidate : \n\n- Strong Data Engineer (AWS) Profile\n\n- Mandatory : Minimum 6+ years of experience in Data Engineering, with strong experience designing, developing, and maintaining scalable data pipelines and ETL processes.\n\n- Mandatory : 3+ years of hands-on experience with AWS data engineering services, particularly S3, AWS Glue, EMR, Lambda, and Redshift.\n\n- Mandatory : Strong programming experience in Python, Java, or Scala, with hands-on development of data processing and pipeline solutions.\n\n- Mandatory : Strong expertise in SQL, data warehousing, and database technologies, including experience with both SQL and NoSQL databases.\n\n- Mandatory : Hands-on experience working with Big Data technologies and distributed data processing, including designing and optimizing large-scale data pipelines.\n\n- Mandatory : Experience with data pipeline troubleshooting, monitoring, data quality, governance, and security best practices.\n\n- Mandatory : B.Tech / B.E./ M.Tech\n\n- Mandatory : Immediate joiners or candidates who can join within 2 weeks.\n\n- Preferred : Experience with Apache Airflow, Docker, and Kubernetes for pipeline orchestration and containerized data engineering workloads.\n\nInterview Process : \n\n- R1\n\n- R2\n\n- R3\n\n- HR Discussion\nSkills\nData Engineering, Python, Data Pipeline, SQL, AWS, Data Management, Data Services, ETL, Scala, Data Warehousing","description_format":"text","description_chars":2512,"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":[],"lifecycle":[{"event":"open","at":"2026-09-26T04:00:00Z"}],"liveness":{"score":16,"band":"cold","label":"Long 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