{"id":1273142,"url":"https://alion.io/job/rarr-technologies-aws-data-engineer","title":"AWS Data Engineer","company":{"id":3801593,"name":"RARR Technologies","domain":"rarrtech.com","url":"https://alion.io/company/rarr-technologies","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":"staff","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":29000,"max_usd":60000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":14},"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":"DynamoDB","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Python","optional":false},{"name":"Agile","optional":true},{"name":"Amazon CloudWatch","optional":true},{"name":"Amazon EventBridge","optional":true},{"name":"Amazon S3","optional":true},{"name":"AWS Glue","optional":true},{"name":"AWS Step Functions","optional":true},{"name":"CI/CD","optional":true},{"name":"CloudFormation","optional":true},{"name":"IAM","optional":true},{"name":"Scrum","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-08-27T13:11:52Z","employer_posted_date":null,"last_verified_at":"2026-08-27T13:11:52Z","board_verified":false,"closed_at":null,"days_open":36,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":36},"description":"Job Description:\n\nKey Responsibilities:\n\n- Design, develop, and maintain serverless data solutions using AWS Lambda.\n\n- Build, enhance, and support scalable data ingestion, transformation, and processing pipelines using Python.\n\n- Develop and optimize enterprise data warehouse solutions using Amazon Redshift, including query optimization and performance tuning.\n\n- Design, implement, and manage Amazon DynamoDB data models to ensure high performance, scalability, and reliability.\n\n- Ensure data quality, integrity, security, and consistency across data pipelines and storage solutions.\n\n- Collaborate with application developers, cloud engineers, data architects, and business stakeholders to deliver robust data solutions.\n\n- Support production deployments, monitor pipeline performance, troubleshoot issues, and provide timely resolutions.\n\n- Implement AWS best practices for architecture, security, monitoring, scalability, and cost optimization.\n\n- Optimize ETL/ELT processes to improve performance and maintainability.\n\n- Participate in code reviews, documentation, and continuous improvement initiatives.\n\nRequired Skills:\n\n- Strong hands-on experience with AWS Lambda.\n\n- Proficiency in Python for data engineering and automation.\n\n- Experience with Amazon Redshift for data warehousing, query optimization, and performance tuning.\n\n- Strong knowledge of Amazon DynamoDB and NoSQL database design.\n\n- Experience in building scalable ETL/ELT pipelines.\n\n- Good understanding of AWS services, cloud-native architecture, and serverless computing.\n\n- Knowledge of data quality, governance, and security best practices.\n\n- Strong problem-solving, analytical, and communication skills.\n\nPreferred Skills:\n\n- Experience with additional AWS services such as Amazon S3, AWS Glue, Step Functions, IAM, CloudWatch, SNS/SQS, or EventBridge.\n\n- Familiarity with CI/CD pipelines and infrastructure-as-code tools such as Terraform or CloudFormation.\n\n- Experience working in Agile/Scrum environments.\nSkills\nAWS, Data Engineering, AWS Lambda, Data Warehousing, Redshift, DynamoDB, Performance Tuning","description_format":"text","description_chars":2094,"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":["IT Consulting & Digital Transformation","Enterprise Apps Implementation Partners"],"lifecycle":[{"event":"open","at":"2026-09-26T00:07:01Z"}],"liveness":{"score":21,"band":"cold","label":"Long shot","p_open":0.6,"p_active":0.636,"p_room":0.55,"age_days":35,"expected_fill_days":30,"reasons":["seen:35","velocity","win:tail"],"computed_at":"2026-10-02T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/rarr-technologies-aws-data-engineer","json_url":"https://alion.io/job/rarr-technologies-aws-data-engineer.json","meta":{"generated_at":"2026-10-03T03:30:58Z","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":3355,"day_limit":5000,"remaining_today":1645,"minute_limit":60,"resets_at":"2026-10-04T00:00:00Z"}}}