{"id":55327,"date":"2020-01-18T00:00:00","date_gmt":"2020-01-17T21:00:00","guid":{"rendered":"https:\/\/prohoster.info\/blog\/blog_prohoster\/samye-vostrebovannye-navyki-v-professii-data-engineer"},"modified":"2020-02-18T14:03:26","modified_gmt":"2020-02-18T11:03:26","slug":"samye-vostrebovannye-navyki-v-professii-data-engineer","status":"publish","type":"post","link":"https:\/\/prohoster.info\/sq\/blog\/administrirovanie\/samye-vostrebovannye-navyki-v-professii-data-engineer","title":{"rendered":"Aft\u00ebsit\u00eb m\u00eb t\u00eb k\u00ebrkuara n\u00eb profesionin e data engineer","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Sipas sipas statistikave t\u00eb vitit 2019<\/a><\/noindex>, data engineer aktualisht \u00ebsht\u00eb profesioni, k\u00ebrkesa p\u00ebr t\u00eb cilin po rritet m\u00eb shpejt se p\u00ebr \u00e7do profesion tjet\u00ebr. Data engineer luan nj\u00eb rol kritikisht t\u00eb r\u00ebnd\u00ebsish\u00ebm n\u00eb organizat\u00eb: krijon dhe mban funksionale pipeline-et dhe bazat e t\u00eb dh\u00ebnave q\u00eb p\u00ebrdoren p\u00ebr p\u00ebrpunimin, transformimin dhe ruajtjen e t\u00eb dh\u00ebnave. Cilat aft\u00ebsi u duhen m\u00eb shum\u00eb p\u00ebrfaq\u00ebsuesve t\u00eb k\u00ebtij profesioni? A ndryshon kjo list\u00eb nga ajo q\u00eb k\u00ebrkohet nga data scientists? P\u00ebr t\u00eb gjitha k\u00ebto do t\u00eb m\u00ebsoni n\u00eb artikullin tim.<\/p>\n

Kam analizuar shpalljet e pun\u00ebs p\u00ebr pozicionin data engineer n\u00eb form\u00ebn n\u00eb t\u00eb cil\u00ebn paraqiteshin n\u00eb janar 2020, p\u00ebr t\u00eb kuptuar se cilat aft\u00ebsi teknologjike jan\u00eb m\u00eb t\u00eb k\u00ebrkuarat. M\u00eb pas i krahasova rezultatet me statistikat e shpalljeve p\u00ebr pozicionin data scientist, dhe dol\u00ebn n\u00eb pah disa dallime interesante.<\/p>\n

Pa hyr\u00eb n\u00eb nj\u00eb hyrje t\u00eb gjat\u00eb, ja dhjet\u00eb teknologjit\u00eb q\u00eb p\u00ebrmenden m\u00eb shpesh n\u00eb shpalljet e pun\u00ebs:<\/p>\n

\"Aft\u00ebsit\u00eb<\/p>\n

P\u00ebrmendjet e teknologjive n\u00eb shpalljet p\u00ebr pozicionin e data engineer n\u00eb vitin 2020<\/i><\/p>\n

Le t\u00eb merremi me k\u00ebt\u00eb.
\n<\/a><\/noindex><\/p>\n

P\u00ebrgjegj\u00ebsit\u00eb e data engineer<\/h4>\n

\nSot, puna q\u00eb b\u00ebjn\u00eb data engineers ka nj\u00eb r\u00ebnd\u00ebsi t\u00eb jasht\u00ebzakonshme p\u00ebr organizatat: jan\u00eb pik\u00ebrisht k\u00ebta specialist\u00eb q\u00eb p\u00ebrgjigjen p\u00ebr ruajtjen e informacionit dhe e p\u00ebrgatisin at\u00eb n\u00eb nj\u00eb form\u00eb t\u00eb till\u00eb q\u00eb punonj\u00ebsit e tjer\u00eb t\u00eb mund t\u00eb punojn\u00eb me t\u00eb. Data engineers nd\u00ebrtojn\u00eb pipeline-e p\u00ebr t\u00eb organizuar marrjen e t\u00eb dh\u00ebnave, si n\u00eb rrjedh\u00eb ashtu edhe n\u00eb paketa, nga nj\u00eb s\u00ebr\u00eb burimesh. M\u00eb pas, k\u00ebto pipeline-e kryejn\u00eb operacione nxjerrjeje, transformimi dhe ngarkimi (me fjal\u00eb t\u00eb tjera, procese ETL), duke i b\u00ebr\u00eb t\u00eb dh\u00ebnat m\u00eb t\u00eb p\u00ebrshtatshme p\u00ebr p\u00ebrdorim t\u00eb m\u00ebtejsh\u00ebm. Pas k\u00ebsaj, t\u00eb dh\u00ebnat u kalohen analist\u00ebve dhe data scientists p\u00ebr p\u00ebrpunim m\u00eb t\u00eb thelluar. N\u00eb fund, t\u00eb dh\u00ebnat e p\u00ebrfundojn\u00eb udh\u00ebtimin e tyre n\u00eb panele informative, raporte dhe modele t\u00eb machine learning.<\/p>\n

K\u00ebrkova informacion q\u00eb do t\u00eb m\u00eb lejonte t\u00eb nxirrja nj\u00eb p\u00ebrfundim se cilat teknologji jan\u00eb aktualisht m\u00eb t\u00eb k\u00ebrkuarat n\u00eb pun\u00ebn e nj\u00eb data engineer.<\/p>\n

Metodat<\/h4>\n

\nMblodha informacion nga tre faqe interneti p\u00ebr k\u00ebrkim pune \u2014 SimplyHired<\/a><\/noindex>, Indeed<\/a><\/noindex> dhe Monster<\/a><\/noindex> dhe analizova se cilat fjal\u00eb ky\u00e7e shfaqen s\u00eb bashku me \u201cdata engineer\u201d n\u00eb tekstet e shpalljeve t\u00eb pun\u00ebs t\u00eb destinuara p\u00ebr banor\u00ebt e SHBA-s\u00eb. P\u00ebr k\u00ebt\u00eb detyr\u00eb p\u00ebrdora dy biblioteka Python \u2014 Requests<\/a><\/noindex> dhe Beautiful Soup<\/a><\/noindex>N\u00eb grupin e fjal\u00ebve ky\u00e7e p\u00ebrfshiva si ato q\u00eb ishin n\u00eb list\u00ebn e m\u00ebparshme p\u00ebr analiz\u00ebn e vendeve t\u00eb pun\u00ebs p\u00ebr pozicionin data scientist, ashtu edhe ato q\u00eb i p\u00ebrzgjodha manualisht duke lexuar shpalljet e pun\u00ebs p\u00ebr data engineers. LinkedIn nuk u p\u00ebrfshi te burimet, sepse aty m\u00eb bllokuan pas p\u00ebrpjekjes sime t\u00eb m\u00ebparshme p\u00ebr t\u00eb mbledhur t\u00eb dh\u00ebna.<\/p>\n

P\u00ebr secil\u00ebn fjal\u00eb ky\u00e7e llogarita p\u00ebrqindjen e paraqitjeve ndaj numrit total t\u00eb teksteve ve\u00e7mas p\u00ebr secilin sajt, dhe m\u00eb pas nxora vler\u00ebn mesatare p\u00ebr t\u00eb tre burimet.<\/p>\n

Rezultatet<\/h4>\n

\nM\u00eb posht\u00eb jan\u00eb paraqitur tridhjet\u00eb terma teknik\u00eb nga fusha e data engineering me rezultatet m\u00eb t\u00eb larta n\u00eb t\u00eb tre sajtet e pun\u00ebsimit.<\/p>\n

\"Aft\u00ebsit\u00eb<\/p>\n

Dhe ja t\u00eb nj\u00ebjtat shifra, por t\u00eb paraqitura n\u00eb form\u00eb tabele:<\/p>\n

\"Aft\u00ebsit\u00eb<\/p>\n

Le t\u2019i marrim me radh\u00eb.<\/p>\n

P\u00ebrmbledhje e rezultateve<\/b><\/p>\n

Si SQL, ashtu edhe Python p\u00ebrmenden n\u00eb m\u00eb shum\u00eb se dy t\u00eb tretat e vendeve t\u00eb pun\u00ebs t\u00eb analizuara. Pik\u00ebrisht k\u00ebto dy teknologji ka kuptim t\u00eb m\u00ebsohen s\u00eb pari. Python<\/a><\/noindex> \u2013 \u00ebsht\u00eb nj\u00eb gjuh\u00eb programimi shum\u00eb popullore, q\u00eb p\u00ebrdoret p\u00ebr pun\u00eb me t\u00eb dh\u00ebnat, krijimin e faqeve web dhe shkrimin e skripteve. SQL<\/a><\/noindex> shkurtohet nga Structured Query Language (gjuha e pyetjeve t\u00eb strukturuara); ai n\u00ebnkupton nj\u00eb standard t\u00eb zbatuar nga nj\u00eb grup gjuh\u00ebsh dhe p\u00ebrdoret p\u00ebr nxjerrjen e t\u00eb dh\u00ebnave nga bazat relacionale. \u00cbsht\u00eb shfaqur prej koh\u00ebsh dhe ka d\u00ebshmuar q\u00ebndrueshm\u00ebri t\u00eb lart\u00eb.<\/p>\n

P\u00ebr Spark flitet n\u00eb rreth gjysm\u00ebn e vendeve t\u00eb pun\u00ebs. Apache Spark<\/a><\/noindex> \u2013 \u00ebsht\u00eb nj\u00eb \u00abmotor analitik i unifikuar p\u00ebr p\u00ebrpunimin e t\u00eb dh\u00ebnave t\u00eb m\u00ebdha me module t\u00eb integruara p\u00ebr transmetim rrjedh\u00ebs, SQL, machine learning dhe p\u00ebrpunim grafik\u00ebsh\u00bb. Ai \u00ebsht\u00eb ve\u00e7an\u00ebrisht i popullarizuar te ata q\u00eb punojn\u00eb me baza t\u00eb dh\u00ebnash me p\u00ebrmasa t\u00eb m\u00ebdha.<\/p>\n

AWS shfaqet n\u00eb rreth 45% t\u00eb teksteve t\u00eb vendeve t\u00eb pun\u00ebs. Kjo \u00ebsht\u00eb nj\u00eb platform\u00eb cloud computing e Amazon; ajo mban pjes\u00ebn m\u00eb t\u00eb madhe t\u00eb tregut mes t\u00eb gjitha platformave cloud.
\nPas tyre vijn\u00eb Java dhe Hadoop \u2013 pak m\u00eb shum\u00eb se 40% secili. Java<\/a><\/noindex> \u2013 nj\u00eb gjuh\u00eb shum\u00eb e p\u00ebrhapur dhe e sprovuar n\u00eb praktik\u00eb, e cila n\u00eb anket\u00ebn e zhvilluesve t\u00eb Stack Overflow p\u00ebr vitin 2019<\/a><\/noindex> u rendit n\u00eb vendin e dhjet\u00eb mes gjuh\u00ebve q\u00eb u shkaktojn\u00eb programuesve m\u00eb shum\u00eb tmerr. N\u00eb t\u00eb kund\u00ebrt, Python doli i dyti mes gjuh\u00ebve m\u00eb t\u00eb dashura. Java menaxhohet nga Oracle, dhe gjith\u00e7ka q\u00eb duhet t\u00eb dini p\u00ebr t\u00eb mund t\u00eb kuptohet nga kjo pamje e faqes zyrtare nga janari i vitit 2020.<\/p>\n

\"Aft\u00ebsit\u00eb
\n
\nSikur b\u00ebra nj\u00eb xhiro me makin\u00eb kohe<\/i>
\nApache Hadoop<\/a><\/noindex> p\u00ebrdor modelin softuerik MapReduce me klaster\u00eb server\u00ebsh p\u00ebr big data. Tani kjo qasje po braktiset gjithnj\u00eb e m\u00eb shpesh.<\/p>\n

M\u00eb tej shohim Hive, Scala, Kafka dhe NoSQL \u2014 secila prej k\u00ebtyre teknologjive p\u00ebrmendet n\u00eb nj\u00eb t\u00eb kat\u00ebrt\u00ebn e vendeve t\u00eb lira t\u00eb paraqitura. Apache Hive \u00ebsht\u00eb nj\u00eb sistem ruajtjeje t\u00eb dh\u00ebnash q\u00eb \u201ce thjeshton leximin, shkrimin dhe menaxhimin e grupeve t\u00eb m\u00ebdha t\u00eb t\u00eb dh\u00ebnave t\u00eb vendosura n\u00eb depo t\u00eb shp\u00ebrndara, me ndihm\u00ebn e SQL\u201d. Scala<\/a><\/noindex> \u2013 gjuh\u00eb programimi q\u00eb p\u00ebrdoret gjer\u00ebsisht n\u00eb pun\u00ebn me big data. N\u00eb ve\u00e7anti, Spark \u00ebsht\u00eb krijuar n\u00eb Scala. N\u00eb renditjen e p\u00ebrmendur m\u00eb her\u00ebt t\u00eb gjuh\u00ebve q\u00eb ngjallin frik\u00eb, Scala renditet n\u00eb vendin e nj\u00ebmb\u00ebdhjet\u00eb. Apache Kafka<\/a><\/noindex> \u2013 platform\u00eb e shp\u00ebrndar\u00eb p\u00ebr p\u00ebrpunimin e mesazheve n\u00eb rrjedh\u00eb. \u00cbsht\u00eb shum\u00eb e njohur si mjet p\u00ebr transmetimin e t\u00eb dh\u00ebnave n\u00eb rrjedh\u00eb.<\/p>\n

Bazat e t\u00eb dh\u00ebnave NoSQL<\/a><\/noindex> pozicionohen si alternativ\u00eb ndaj SQL. Ato dallohen sepse nuk jan\u00eb relacionale, nuk jan\u00eb t\u00eb strukturuara dhe ofrojn\u00eb shkall\u00ebzim horizontal. NoSQL ka fituar nj\u00ebfar\u00eb popullariteti, megjithat\u00eb entuziazmi i tepruar p\u00ebr k\u00ebt\u00eb qasje, deri edhe te parashikimet se do ta z\u00ebvend\u00ebsonte SQL si paradigm\u00ebn dominuese t\u00eb ruajtjes, duket se tashm\u00eb i p\u00ebrket s\u00eb kaluar\u00ebs.<\/p>\n

Krahasimi me termat n\u00eb vendet e lira p\u00ebr data scientist<\/h4>\n

\nK\u00ebta jan\u00eb tridhjet\u00eb termat teknologjik\u00eb m\u00eb t\u00eb p\u00ebrhapur te pun\u00ebdh\u00ebn\u00ebsit n\u00eb fush\u00ebn e data science. K\u00ebt\u00eb list\u00eb e p\u00ebrftova n\u00eb t\u00eb nj\u00ebjt\u00ebn m\u00ebnyr\u00eb q\u00eb p\u00ebrshkrova m\u00eb sip\u00ebr p\u00ebr data engineering.<\/p>\n

\"Aft\u00ebsit\u00eb<\/p>\n

P\u00ebrmendjet e teknologjive n\u00eb vendet e lira p\u00ebr pozicionin data scientist n\u00eb vitin 2020<\/i><\/p>\n

N\u00ebse flasim p\u00ebr numrin total, krahasuar me grupin e shqyrtuar m\u00eb her\u00ebt, vende t\u00eb lira kishte 28% m\u00eb shum\u00eb (12 013 kundrejt 9396). Le t\u00eb shohim cilat teknologji shfaqen m\u00eb rrall\u00eb n\u00eb vendet e lira p\u00ebr data scientist sesa p\u00ebr data engineer.<\/p>\n

M\u00eb t\u00eb njohura n\u00eb data engineering<\/b><\/p>\n

Grafiku m\u00eb posht\u00eb tregon fjal\u00ebt ky\u00e7e me diferenc\u00eb mesatare n\u00eb vlera m\u00eb t\u00eb madhe se 10% ose m\u00eb t\u00eb vog\u00ebl se -10%.<\/p>\n

\"Aft\u00ebsit\u00eb<\/p>\n

Dallimet m\u00eb t\u00eb m\u00ebdha n\u00eb shpesht\u00ebsin\u00eb e fjal\u00ebve ky\u00e7e te data engineer dhe data scientist<\/i><\/p>\n

Rritjen m\u00eb t\u00eb madhe e tregon AWS: n\u00eb data engineering ai shfaqet 25% m\u00eb shpesh sesa n\u00eb data science (p\u00ebraf\u00ebrsisht 45% dhe 20% e numrit total t\u00eb vendeve t\u00eb lira, p\u00ebrkat\u00ebsisht). Nj\u00eb diferenc\u00eb e ndjeshme!<\/p>\n

Ja t\u00eb nj\u00ebjtat t\u00eb dh\u00ebna n\u00eb nj\u00eb paraqitje paksa ndryshe \u2014 n\u00eb grafik, rezultatet p\u00ebr t\u00eb nj\u00ebjt\u00ebn fjal\u00eb ky\u00e7e n\u00eb vendet e lira p\u00ebr pozicionet data engineer dhe data scientist jan\u00eb vendosur krah p\u00ebr krah.<\/p>\n

\"Aft\u00ebsit\u00eb<\/p>\n

Dallimet m\u00eb t\u00eb m\u00ebdha n\u00eb shpesht\u00ebsin\u00eb e fjal\u00ebve ky\u00e7e te data engineer dhe data scientist<\/i><\/p>\n

Rritjen tjet\u00ebr m\u00eb t\u00eb madhe e vura re te Spark \u2013 nj\u00eb data engineer shpesh duhet t\u00eb punoj\u00eb me t\u00eb dh\u00ebna n\u00eb shkall\u00eb t\u00eb madhe. Kafka<\/a><\/noindex> gjithashtu u rrit me 20%, pra pothuajse kat\u00ebr her\u00eb m\u00eb shum\u00eb krahasuar me rezultatin n\u00eb ofertat e pun\u00ebs p\u00ebr data scientist. Transferimi i t\u00eb dh\u00ebnave \u00ebsht\u00eb nj\u00eb nga p\u00ebrgjegj\u00ebsit\u00eb kryesore t\u00eb nj\u00eb data engineer. S\u00eb fundi, numri i p\u00ebrmendjeve doli 15% m\u00eb i lart\u00eb n\u00eb data engineering p\u00ebr Java, NoSQL, Redshift, SQL dhe Hadoop.<\/p>\n

M\u00eb pak t\u00eb njohura n\u00eb data engineering<\/b><\/p>\n

Tani le t\u00eb shohim cilat teknologji jan\u00eb m\u00eb pak t\u00eb njohura n\u00eb ofertat e pun\u00ebs p\u00ebr data engineer.
\nR\u00ebnia m\u00eb e fort\u00eb krahasuar me fush\u00ebn e data science u vu re te R<\/a><\/noindex>: atje ai p\u00ebrmendej n\u00eb rreth 56% t\u00eb ofertave t\u00eb pun\u00ebs, nd\u00ebrsa k\u00ebtu vet\u00ebm n\u00eb 17%. Mbres\u00ebl\u00ebn\u00ebse. R \u00ebsht\u00eb nj\u00eb gjuh\u00eb programimi e preferuar nga studiuesit dhe statistikien\u00ebt, si dhe mban vendin e tet\u00eb n\u00eb renditjen e gjuh\u00ebve m\u00eb t\u00eb frikshme.<\/p>\n

SAS<\/a><\/noindex> gjithashtu shfaqet duksh\u00ebm m\u00eb rrall\u00eb n\u00eb ofertat e pun\u00ebs p\u00ebr pozicionin data engineer \u2013 diferenca \u00ebsht\u00eb 14%. SAS \u00ebsht\u00eb nj\u00eb gjuh\u00eb pron\u00ebsore e krijuar p\u00ebr pun\u00eb me statistik\u00eb dhe t\u00eb dh\u00ebna. Nj\u00eb detaj interesant: duke gjykuar nga rezultatet e studimit tim mbi ofertat e pun\u00ebs p\u00ebr data scientists<\/a><\/noindex>, koh\u00ebt e fundit ai ka humbur shum\u00eb terren \u2013 m\u00eb shum\u00eb se \u00e7do teknologji tjet\u00ebr.<\/p>\n

T\u00eb k\u00ebrkuara si n\u00eb data engineering, ashtu edhe n\u00eb data science<\/b><\/p>\n

Duhet theksuar se tet\u00eb nga dhjet\u00eb pozicionet e para n\u00eb t\u00eb dy grupet p\u00ebrputhen. SQL, Python, Spark, AWS, Java, Hadoop, Hive dhe Scala hyn\u00eb n\u00eb dhjet\u00ebshen kryesore si p\u00ebr industrin\u00eb e data engineering, ashtu edhe p\u00ebr data science. N\u00eb grafikun m\u00eb posht\u00eb mund t\u00eb shihni pes\u00ebmb\u00ebdhjet\u00eb teknologjit\u00eb m\u00eb t\u00eb k\u00ebrkuara nga pun\u00ebdh\u00ebn\u00ebsit p\u00ebr data engineers, dhe pran\u00eb tyre treguesin p\u00ebr ofertat e pun\u00ebs p\u00ebr data scienctists.<\/p>\n

\"Aft\u00ebsit\u00eb<\/p>\n

Rekomandime<\/h4>\n

\nN\u00ebse doni t\u00eb merreni me data engineering, do t\u2019ju k\u00ebshilloja t\u00eb zot\u00ebroni teknologjit\u00eb e m\u00ebposhtme \u2013 po i rendis sipas prioritetit t\u00eb p\u00ebraf\u00ebrt.<\/p>\n

M\u00ebsoni SQL. Un\u00eb do t\u2019ju rekomandoja pik\u00ebrisht PostgreSQL, sepse \u00ebsht\u00eb open-source, ka popullaritet t\u00eb madh n\u00eb komunitet dhe \u00ebsht\u00eb n\u00eb faz\u00eb rritjeje. Si t\u00eb p\u00ebrdorni gjuh\u00ebn mund ta m\u00ebsoni nga libri My Memorable SQL \u2013 versioni i tij pilot \u00ebsht\u00eb i disponuesh\u00ebm k\u00ebtu<\/a><\/noindex>.<\/p>\n

P\u00ebrvet\u00ebsoni Python, edhe n\u00ebse jo n\u00eb nivelin m\u00eb t\u00eb avancuar. Libri My Memorable Python \u00ebsht\u00eb menduar pik\u00ebrisht p\u00ebr fillestar\u00ebt. Mund ta blini n\u00eb Amazon<\/a><\/noindex>, n\u00eb kopje elektronike ose fizike, sipas zgjedhjes suaj, ose ta shkarkoni n\u00eb format pdf ose epub n\u00eb k\u00ebt\u00eb faqe<\/a><\/noindex>.<\/p>\n

Sapo t\u00eb njiheni me Python, kaloni te pandas \u2014 nj\u00eb bibliotek\u00eb e Python q\u00eb p\u00ebrdoret p\u00ebr pastrimin dhe p\u00ebrpunimin e t\u00eb dh\u00ebnave. N\u00ebse synoni t\u00eb punoni n\u00eb nj\u00eb kompani ku k\u00ebrkohet aft\u00ebsia p\u00ebr t\u00eb shkruar n\u00eb Python (dhe shumica jan\u00eb t\u00eb tilla), mund t\u00eb jeni t\u00eb sigurt se njohja e pandas do t\u00eb merret si e mir\u00ebqen\u00eb. Tani po p\u00ebrfundoj nj\u00eb udh\u00ebzues hyr\u00ebs p\u00ebr pun\u00ebn me pandas \u2014 mund t\u00eb abonoheni<\/a><\/noindex>, q\u00eb t\u00eb mos humbisni publikimin.<\/p>\n

M\u00ebsoni AWS. N\u00ebse doni t\u00eb b\u00ebheni data engineer, nuk b\u00ebhet pa nj\u00eb platform\u00eb cloud n\u00eb arsenalin tuaj, dhe AWS \u00ebsht\u00eb m\u00eb e popullarizuara prej tyre. Mua m\u00eb ndihmuan shum\u00eb kurset e Linux Academy<\/a><\/noindex>, kur po studioja data engineering n\u00eb Google Cloud<\/a><\/noindex>, mendoj se kan\u00eb materiale t\u00eb mira edhe p\u00ebr AWS.<\/p>\n

N\u00ebse e keni p\u00ebrvet\u00ebsuar tashm\u00eb gjith\u00eb k\u00ebt\u00eb list\u00eb dhe d\u00ebshironi t\u00eb rriteni edhe m\u00eb shum\u00eb n\u00eb syt\u00eb e pun\u00ebdh\u00ebn\u00ebsve si data engineer, ju sugjeroj t\u00eb shtoni Apache Spark p\u00ebr pun\u00ebn me big data. Edhe pse studimi im p\u00ebr vendet e lira n\u00eb data science tregoi nj\u00eb r\u00ebnie t\u00eb interesit, p\u00ebr data engineer ai ende shfaqet pothuajse n\u00eb \u00e7do vend t\u00eb dyt\u00eb pune.<\/p>\n

N\u00eb fund<\/h4>\n

\nShpresoj q\u00eb ky p\u00ebrmbledhje e teknologjive m\u00eb t\u00eb k\u00ebrkuara p\u00ebr data engineer t\u2019ju ket\u00eb qen\u00eb i dobish\u00ebm. N\u00ebse ju intereson si paraqitet situata n\u00eb vendet e lira t\u00eb pun\u00ebs p\u00ebr analist\u00ebt, lexoni artikullin tim tjet\u00ebr<\/a><\/noindex>. Ju uroj suksese n\u00eb inxhinieri!
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Burimi: habr.com<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

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