EMANDAI l\u00e0 m\u1ed9t trong nh\u1eefng \u0111\u01a1n v\u1ecb ti\u00ean phong nghi\u00ean c\u1ee9u tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o \u0111\u1ec3 \u1ee9ng d\u1ee5ng v\u00e0o ho\u1ea1t \u0111\u1ed9ng doanh nghi\u1ec7p. \u0110\u01b0\u1ee3c th\u00e0nh l\u1eadp t\u1eeb n\u0103m 2017 t\u1ea1i \u0110\u00e0 N\u1eb5ng, t\u00ednh \u0111\u1ebfn nay EM&AI \u0111\u00e3 c\u00f3 h\u01a1n 100+ kh\u00e1ch h\u00e0ng v\u00e0 \u0111\u1ed1i t\u00e1c l\u00e0 doanh nghi\u1ec7p v\u1eeba & l\u1edbn t\u1ea1i Vi\u1ec7t Nam. B\u00ean c\u1ea1nh \u0111\u00f3, EM&AI li\u00ean t\u1ee5c g\u1eb7t h\u00e1i \u0111\u01b0\u1ee3c nh\u1eefng gi\u1ea3i th\u01b0\u1edfng l\u1edbn l\u00e0 minh ch\u1ee9ng cho n\u1ec1n t\u1ea3ng c\u00f4ng ngh\u1ec7 hi\u1ec7n \u0111\u1ea1i nh\u01b0: \u00c1 qu\u00e2n Techfest 2020, danh hi\u1ec7u Sao Khu\u00ea 2021.\u00a0<\/p>\n
EMANDAI \u0111ang t\u00ecm ki\u1ebfm \u1ee9ng vi\u00ean t\u00e0i n\u0103ng cho v\u1ecb tr\u00ed DATA ENGINEER tham gia d\u1ef1 \u00e1n tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o cho kh\u00e1ch h\u00e0ng doanh nghi\u1ec7p trong v\u00e0 ngo\u00e0i n\u01b0\u1edbc<\/p>\n
– \u0110\u1ecba ch\u1ec9 l\u00e0m vi\u1ec7c :<\/strong> T\u1ea7ng 7, T\u00f2a nh\u00e0 \u0110\u01b0\u1eddng Vi\u1ec7t, 30 Nguy\u1ec5n H\u1eefu Th\u1ecd, ph\u01b0\u1eddng H\u00f2a Thu\u1eadn T\u00e2y, qu\u1eadn H\u1ea3i Ch\u00e2u, Tp. \u0110\u00e0 N\u1eb5ng<\/p>\n – Th\u1eddi gian l\u00e0m vi\u1ec7c:<\/strong> 08:00 – 17:30 (Th\u1ee9 2 – Th\u1ee9 6) , 08:00-12:00 (Th\u1ee9 7).<\/p>\n – S\u1ed1 l\u01b0\u1ee3ng tuy\u1ec3n d\u1ee5ng:<\/strong> 02<\/p>\n Contents<\/p> 1. Analyzing and organizing raw data.<\/p>\n 2. Building data systems and data pipelines.<\/p>\n 3. Evaluating business needs and objectives.<\/p>\n 4. Interpreting trends and patterns.<\/p>\n 5. Preparing data for prescriptive and predictive modeling.<\/p>\n 6. Building algorithms and prototypes.<\/p>\n 7. Developing analytical tools and programs.<\/p>\n 8. Collaborating with data scientists and architects on projects.<\/p>\n – At least\u00a02 years of working<\/strong>\u00a0as a data engineer.<\/p>\n – A degree or higher in Computer Science, Software Engineering, Information Technology or other related technical disciplines.<\/p>\n – Deep knowledge of SQL and NoSQL Database systems.<\/strong><\/p>\n – Solid foundation in Python<\/strong>\u00a0and at least another language in the JVM family.<\/p>\n – Experience with data warehousing solutions<\/strong>.<\/p>\n – Experience with distributed systems, high-volume Databases, and ETL pipelines.<\/strong><\/p>\n – Familiarity with Big data analysis.<\/strong><\/p>\n – Knowledge of algorithms and data structures<\/strong>.<\/p>\n – Knowledge of Machine learning algorithms<\/strong>\u00a0to help data scientists make predictions based on current and historical data is an advantage.<\/p>\n – Experience with building Data APIs<\/strong>\u00a0for accessing data from other applications.<\/p>\n – Excellent critical thinking, organizational, and communication skills.<\/p>\n – Strong ownership and good collaboration skills to work in a team.<\/p>\n – Good English communication is an advantage.<\/p>\n \t\t\u00a0– Salary commensurate with ability. Evaluated the quality and level of job completion 2 times\/ 1 year;\u00a0– Opportunity to grow rapidly, creative ideas, a place to try new things.\u00a0– Insurance according to state regulations, 12 days off\/year;\t\t<\/p>\n \u1ee8ng vi\u00ean vui l\u00f2ng g\u1eedi CV \u1ee9ng tuy\u1ec3n & Th\u01b0 xin vi\u1ec7c v\u1ec1 email:<\/p>\n – Email: giang.tran@emandai.net<\/p>\n – Ti\u00eau \u0111\u1ec1: Data Engineer | H\u1ecd & T\u00ean \u1ee9ng vi\u00ean.<\/p>\nM\u00d4 T\u1ea2 C\u00d4NG VI\u1ec6C <\/span><\/h2>\n
Y\u00caU C\u1ea6U C\u00d4NG VI\u1ec6C<\/span><\/h2>\n
QUY\u1ec0N L\u1ee2I<\/span><\/h2>\n
C\u00c1CH \u1ee8NG TUY\u1ec2N<\/span><\/h2>\n