Data Engineer - Noida, India - SAM Manpower and Career Services LLP

Description

Role:
DataEngineerExperience: 57YearsLocation:NoidaNotice: Immediate joinersonly
JobDescription We arelooking for an experienced data engineer to join our team. You willuse various methods to transform raw data into useful data systems.
For example you ll create algorithms and conduct statisticalanalysis. Overall you ll strive for efficiency by aligning datasystems with business goals.

To succeed in this data engineeringposition you should have strong analytical skills and the abilityto combine data from different sources.

Data engineer skills alsoinclude familiarity with several programming languages andknowledge of learning machine methods. You will collaborate withcrossfunctional teams to identify opportunities for datadrivenimprovements and present findings to both technical andnontechnical stakeholders.

ResponsibilitiesAnalyze and organize rawdata Build data systems andpipelinesEvaluate business needs andobjectivesInterpret trends andpatternsConduct complex data analysis andreport on results Prepare data forprescriptive and predictive modelingBuildalgorithms and prototypesCombine rawinformation from different sourcesExploreways to enhance data quality andreliabilityIdentify opportunities for dataacquisitionDevelop analytical tools andprogramsCollaborate with data scientists andarchitects on several projects Requiredskills andqualificationsBachelors/Masters/Ph.

D. degreein Data Engineering Computer Science Statistics Mathematics or arelated field5 years prior experience in adata engineering role or related field ispreferredProficiency in programminglanguages such as Python or R for data analysis andmodelingKnowledge of programming languages(e.g. Java and Python)Technical expertisewith data models data mining and segmentationtechniquesExperience with Excel PowerPointTableau SQLFamiliarity with big datatechnologies (e.g. Hadoop Spark) and cloud platforms (e.g. AWSAzure) is a plusGreat problemsolving skillsand the ability to translate business questions into data sciencetasksStrong communication skills tocollaborate with crossfunctional teams and present findings todiverse audiences
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