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I. M T CNG VIC:
Xy dng v vn hnh h thng Data Warehouse.
Phn tch v Thit k d liu trong cng ty vo Data Warehouse, Data Martphc v cho vic phn tch d liu v bo co.
H tr Data Analyst xy dng cc m hnh phn tch d liu Machine Learning
Thc hin cc ti liu d n lin quan n phm vi cng vic ca mnh.
Lm vic cht ch vi cc phng ban lin quan s dng data gip nng cao cht lng lm vic, t mc tiu ra ca tng phng ban.
Vn hnh h thng Data WareHouse v Information Layer.
II. YU CU CNG VIC:
Tt nghip i hc chnh quy tr ln, chuyn nghnh Khoa hc my tnh, khoa hc d liu, tr tu nhn to, cng ngh thng tin hoc cc chuyn ngnh c lin quan n v tr.
C t nht 4 nm kinh nghim lm v Data Warehouse hoc Data Engineer.
S dng tt 01 trong cc cng c trc quan d liu (V d: PowerBI, OBI,).
S dng tt 01 trong cc cng c bin i d liu ( V d: Talend, ODI, Airflow)
C kinh nghip thit k Data Warehouse Model.
Thnh tho 01 trong cc loi c s d liuSQL server, Oracle Database, MongoDB,
Kh nng lm vic c lp, v lm vic nhm tt.
u tin thnh to t nht 01 ngn ng lp trnh ( V d: Python, R, Java).
C kin thc v Cloud, Big data,... l im cng.
Sn sng hc hi, cp nht, ch ng, tch cc trong cng vic.
C kinh nghim lm cc cng ty Ti chnh, Ngn hng l mt li th.
III. QUYN LI:
Mc lng c bn: Thng lng (ng bo him 100% trn lng gross)
12 ngy ngh php + 01 ngy php ngy sinh nht + thm php theo chnh sch khen thng+php thm nin theo cp bc
BHYT, BHXH, BHTN, Khm sc khe nh k, ng phc chuyn nghip.
o to, trao i, hc tp, cc hot ng Team building;
Date Posted: 19/06/2024
Job ID: 82273817