{"id":2640966,"url":"https://alion.io/job/amazon-data-engineer-ii-ftc-davengersdata-avengers","title":"Data Engineer - II (FTC), DAVENGERS(Data Avengers)","company":{"id":19,"name":"Amazon","domain":"amazon.com","url":"https://alion.io/company/amazon","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"A","score":91,"open_postings":1107,"ghost_share":0,"stale_share":0.556,"repost_share":0.004,"time_to_fill_p50_days":15,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","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":18000,"max_usd":44000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":16},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon EC2","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"AWS","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Machine Learning","optional":false},{"name":"SQL","optional":false},{"name":"Amazon Kinesis","optional":true},{"name":"Amazon S3","optional":true},{"name":"AWS Glue","optional":true},{"name":"AWS Lambda","optional":true},{"name":"IAM","optional":true}],"status":"live","first_seen_at":"2026-09-02T00:00:00Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-16T14:01:19Z","board_verified":true,"closed_at":null,"days_open":44,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":44},"description":"As a data engineer are you looking for opportunity to be among software developers, machine learning scientists to build a data platform that not only caters to BI and reporting but also extends to machine learning applications?\nAs a data engineer in AEE, you will: - Design, implement and support an analytical data infrastructure serving both business intelligence and machine learning applications\n - Managing AWS resources including EC2,Redshift,EMR-Spark etc\n- Collaborate with applied scientist to integrate and build data pipeline as necessary for building and training machine learning models in AEE\n- Collaborate with Product Managers, Financial and Business analysts to recognize and help adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation\n- Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies\n- Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency\n- Collaborate with other tech teams to implement advanced analytics algorithms that exploit our rich datasets for statistical analysis, prediction, clustering and machine learning\n- Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers\nBasic qualifications\n- 3+ years of data engineering experience\n- Experience with data modeling, warehousing and building ETL pipelines\n- Experience with SQL\nPreferred qualifications\n- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions\n- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)\nOur inclusive culture empowers Amazonians to deliver the best results for our customers. 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