{"id":1298066,"url":"https://alion.io/job/datavail-senior-technical-specialist-awsaws-lambdaaws-glueaws-sns","title":"Senior Technical Specialist - AWS/AWS Lambda/AWS Glue/AWS SNS","company":{"id":2064706,"name":"Datavail","domain":"datavail.com","url":"https://alion.io/company/datavail","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":null},"role":"Sales","role_family":"Sales","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, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":16000,"max_usd":37000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":20},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Podman","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"SSIS","optional":false},{"name":"Terraform","optional":false},{"name":"Agile","optional":true},{"name":"CI/CD","optional":true},{"name":"IAM","optional":true},{"name":"Scrum","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-08-25T05:02:43Z","employer_posted_date":"2026-08-25","last_verified_at":"2026-10-12T21:53:40Z","board_verified":true,"closed_at":null,"days_open":48,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":48},"description":"Job Title: Senior Technical Specialist\nEducation: Any Graduate\nExperience: 10+years\nLocation: Bengaluru, Mumbai, Hyderabad.\nWe are looking for an experienced Senior Data Engineer / AWS Data Engineer with 10-12 years of hands-on experience in designing, developing, and maintaining scalable data engineering solutions. The ideal candidate should have strong expertise in AWS data services, Python, PySpark, SQL, ETL, infrastructure as code, and data orchestration.The candidate will be responsible for building robust data pipelines, integrating cloud and on-premises data sources, optimizing data processing workflows, and supporting enterprise-scale data platforms.\nTechnologyRequired Expertise\nAWS Lambda, Glue, SNS, orchestration and related data services\nPython Strong hands-on experience\nPySpark Strong hands-on experience\nSQL Advanced SQL, query optimization, data transformation\nRedshift Development, optimization, data loading\nRDS Database development and management\nSSIS ETL development and maintenance\nSSMS SQL Server development and troubleshooting\nTerraform Infrastructure as Code\nYAML Configuration/automation\nGit Version control and source code management\nPodman Containerization\nVS Code Development environment\nGood to Have\nExperience with Connect\n\nExperience with TOLSE / TOLENT\n\nExperience with CI/CD and DevOps practices.\n\nExperience working in Agile/Scrum environments.\n\nKnowledge of cloud security, IAM, monitoring, and logging.\n\nQualifications\nBachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.\n\n10 -12 years of professional experience in data engineering, ETL, cloud data platforms, or related technologies.\n\nStrong problem-solving and analytical skills.\n\nExcellent communication and collaboration skills.\n\nAbility to work independently as well as within a cross-functional team.\n\nTarget Profile: Senior Data Engineer / AWS Data Engineer / Lead Data Engineer with 10 -12 years of experience\nKey Responsibilities\nDesign, develop, and maintain scalable data pipelines and ETL/ELT workflows.\n\nDevelop cloud-native data solutions using AWS services, including Lambda, Glue, SNS, and orchestration services.\n\nBuild and optimize data processing jobs using Python and PySpark.\n\nDevelop complex SQL queries, stored procedures, and data transformations.\n\nWork with Amazon Redshift and Amazon RDS for data storage, processing, and analytics.\n\nDevelop and maintain ETL packages and workflows using SSIS.\n\nUse SSMS for database development, troubleshooting, and performance optimization.\n\nImplement infrastructure and configuration using Terraform and YAML.\n\nWork with Git for source code management, branching, merging, and version control.\n\nContainerize and manage development workloads using Podman.\n\nUse VS Code as the primary development environment.\n\nImplement event-driven and automated workflows using AWS services such as Lambda, SNS, and orchestration frameworks.\n\nMonitor, troubleshoot, and optimize data pipelines and AWS workloads.\n\nEnsure data quality, reliability, security, and performance across data platforms.\n\nCollaborate with architects, developers, business analysts, and other stakeholders to deliver data solutions.\n\nParticipate in code 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