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Hiring Data Engineer For MNC organisation

4.00 to 9.00 Years   Hyderabad, Gurugram   23 Jun, 2022
Orcapod Consulting Services Pvt Ltd
Job LocationHyderabad, Gurugram
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

    Greetings of the dayDear Candidates Job descriptionSkills: AWS, Spark, SQLLocations: Hyderabad, Noida, GurugoanPacakge:15 LpaShift Time: 11am-8:30pmCandidate should be able to:Coordinate Development, Integration, and Production deployments.Optimize Spark code, Impala queries, and Hive partitioning strategy for better scalability, reliability, and performance.Perform migration from Legacy Databases RDBMS to Hadoop EcosystemCreate mapping documents to outline data flow from source to target.Design and deploy enterprise-wide scalable operationsWork on leading BI technologies like MSTR, Tableau over Hadoop Ecosystem through ODBC/JDBC connectionPerform Performance tuning of Impala queriesWork on hive performance optimizations like using distributed cache for small datasets, Partition, Bucketing in Hive, and Map Side joins.Write SPARK jobs to fetch large data volumes from the sourceGood experience on performing data warehouse architecture development and managementRemarkable experience with technologies such as SQL Server 2008, as well as with newer ones like SSIS and stored proceduresHigh proficiency in dimensional modeling techniques and their applicationsStrong analytical, consultative, and communication skills; as well as the ability to make good judgment and work with both technical and business personnelRemarkable experience with Microsoft Azure and Amazon AWS computing platformsStrong experience with Hadoop, Impala, Pig, Hive, and other big data technologies.Work with end-users to gather requirements and convert them to working documentsCandidate should have:Experience in Hadoop, HBase, MongoDB, or other NoSQL platformsExperience with Spark and Spark SQLGood strong native SQL skillsGood Strong data warehousing conceptsExcellent communication skills with both Technical and Business audienceHands-on experience in SQL, Spark, Zeppelin, Scala, Amazon S3Good knowledge of Big Data querying tools, such as Pig, Hive, and ImpalaGood experience in debugging issues using the Hadoop, Spark Log filesRegardsHr Team

Keyskills :
big datasqldata engineeringhadoop administration

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