Senior Data Engineer

Trch nhim chnh:

Thit k v trin khai kin trc Data Lakehouse trn nn tng Azure s dng Azure Data Lake Storage Gen2, Delta Lake, Azure Synapse, hoc Databricks.

Pht trin pipeline x l d liu (ETL/ELT) t nhiu ngun khc nhau (on-prem, cloud, streaming, APIs, files).

Lm vic vi cc nhm AI, BI v DevOps tch hp d liu vo cc ng dng phn tch, m hnh hc my hoc bo co thng minh.

Ti u hiu sut h thng lu tr v truy vn d liu ln (big data), m bo chi ph hp l v kh nng m rng.

Trin khai quy trnh gim st cht lng d liu (data quality check), qun l metadata v lineage.

Phi hp vi i ng h tng vn hnh h thng d liu an ton, tun th bo mt v quy nh ni b.

Vit ti liu k thut v h tr chuyn giao, vn hnh cho cc nhm sn phm v phn tch.

Trnh & Kinh nghim

Tt nghip i hc cc ngnh: Cng ngh thng tin, Khoa hc d liu, H thng thng tin hoc tng ng.

Ti thiu 5 nm kinh nghim vi vai tr Data Engineer hoc tng ng.

C kinh nghim trin khai h tng d liu trn Azure Cloud, u tin bit s dng cc dch v:

o Azure Data Lake Storage Gen2

o Azure Synapse Analytics, Azure Data Factory, Azure Databricks

o Azure Event Hub, Azure Stream Analytics, hoc Apache Kafka

Thnh tho SQL, Python hoc PySpark, v hiu r v x l d liu song song (distributed computing).

C kinh nghim vi m hnh d liu: Star Schema, Snowflake Schema, Lakehouse Architecture, hoc Delta Lake.

u tin ng vin tng lm vic vi h thng d liu ln, real-time pipeline, hoc tch hp m hnh AI/ML.

K nng mm

Kh nng lm vic c lp, ch ng v c t duy h thng.

K nng phi hp tt vi cc nhm k thut khc (AI, DevOps, Product).

T duy logic, k nng phn tch v gii quyt vn tt.

Sn sng hc hi cng ngh mi, khng ngi thay i v th nghim.

Quyn li

Mc lng cnh tranh theo nng lc.

Thng theo hiu sut v ng gp thc t.

Mi trng k thut tin tin, c hi lm vic vi h thng d liu ln v cc gii php AI hin i.

Vn ho lm vic minh bch, chuyn nghip, h tr pht trin s nghip lu di.