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Data Engineer

4 weeks ago

Delhi, India Kenan Management Consultants Pvt Ltd Full time
Job Description

The role requires data ingestion, processing and extraction of data to & from Hadoop Cluster onlyusing Informatica BDM. It requires extensive experience in ETL, SQL, Scoop, Spark, Hive, Hadoop &KAFKA. Knowledge of PySpark will be preferable

Job Title Data Engineer

Experience

Minimum 4-5 years of Experience in Development inInformatica Big Data Management/ DEI & Informatica PowerCenterExtensive experience in delivering data pipelines usingInformatica on Big Data ClustersHands on experience with extraction of unstructured and semistructured data using data processor transformationKnowledge of PySpark will be high preferableFull knowledge of designing and creating complex data models

Education, Skillsets &Qualifications

Bachelor's degree in Computer Science or equivalent; Masterspreferred ProgrammingSolid programming skills in SQLDeep Knowledge in data architecture, designing workflows,building ingestion frameworkExpertise of working on Enterprise Big data distribution likeCloudera. Exposure to big data components HDFS, HIVEQL,Spark, HBase, Impala is essential

Main Duties & Responsibilities

Building and optimizing data pipelines architectures and data sets;both batch-oriented and real time using Informatica BDM fromboth relational & non relational DBsDesign, develop and customize mappings/workflows for differenttypes of loads using Informatica BDMLeverage various transformations in Informatica BDM tool to workon data ingestion, data profiling & data qualityLeverage Hadoop ecosystem knowledge to design, and developcapabilities to deliver our solutionsSupport and play a pivotal role as part of data engineering team tobuild the data lake on Cloudera for Enterprise analytics.Work hands on with Spark & KAFKA in addition to InformaticaplatformDesign recommend best approach suited for data movement fromdifferent sources to HDFSEnsure optimum performance of the Informatica mappings andworkflowWork with dynamic cross functional teams including business,Solution architects & Data engineers

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