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Data Engineer T8

3.00 to 5.00 Years   Bangalore   03 Jan, 2023
Mercede
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

    *Extensive experience on building Data Pipeline by scrapping data from Multiple Data Source (CSV, Excel, JSON etc). Sound knowledge on building the Data Pipeline from scalability point of view by understanding the Application Landscape. Analyse structural requirements and builds data pipeline and models for analytics applications Strong Knowledge and working experience on ETL concept. Proficiency in data warehousing design, tuning and ETL/ELT process development Collect, collate data from disparate data sources such as RDBMS systems, logs, data files of various formats. Strong SQL and data model understanding is necessary. Cleanse the data, treat and process data for correctness, uniformity, fitment for further analytical processing. Should work with the large and diverse volumes of enterprise datasets. Designs and builds conceptual and logical data models and flowcharts which conform to existing standards and conventions Good to have Knowledge in data modelling, process modelling, master data management, metadata management and enterprise data management. Experience in migrating data from legacy applications. Should be good in communication to create data stories and explain statistical outcomes. Should be able work with Notebooks and EDA components to explain analytical outcomes in a convincing way supported by data and visualizations. Knowledge of data mining and segmentation techniques Proficiency in database structure principles and Relational DBMS with 3rd normal form relational modelling and dimensional modelling Should independently work with global teams, deliver analytical and predictive outcomes expected. Also keep looking for opportunities to mine additional use cases as domain and data understanding grows. Partners with security specialists to ensure compliance with data security and privacy mandates Builds and revises data dictionary definitions, governance practices, and standards., *Expertise in following Technical areas is MUST.Knowledge of programing languages: Python and SQL. Knowledge on Big Data Analytics (PySpark) Expertise in working with modern data lakes and data warehouses. Strong knowledge on ETL Process and Technique. Cloud Solution : Strong knowledge on Azure (Data Bricks, Data Factory, ADLS ) Familiarity with Azure DevOps Deployment Knowledge: CI/CD Tool Chain. Strong knowledge on SQL DB and NoSQL DB. Exposure on Data science modelling concept.Expertise in following Technical areas is GOOD to have.Adobe and Google Analytics concepts AWS cloud experience Knowledge in various machine leaning frameworks like Tensorflow , Keras and PyTorch . Exposure to MS Power Bi Knowledge on R and Scala Experience in the field of Automotive Sales and Aftersales, Oil and Gas Industry, Banking and Finance, Retail (FMCG) and e-Commerce.Other SkillsExtremely good Analytical and Problem Solving Skill In-depth understanding of SDLC life Cycle Experience in Agile Product Development methodology Experience in Converting business requirements in business documents Good communication skills Experience in the field of Automotive Sales and Aftersales, Oil and Gas Industry, Banking and Finance, Retail (FMCG) and e-Commerce is good to have.

Keyskills :
sqljavadata warehousinginformaticapythonbig data analyticsmaster data managementbig datause casesdata miningmaster datadata modelsdata science

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