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PlanetSpark - Data Engineer

2.00 to 5.00 Years   Gurugram   07 Mar, 2023
Planet Spark
Job LocationGurugram
EducationNot Mentioned
SalaryNot Disclosed
IndustryEducation / Training
Functional AreaDBA / Datawarehousing
EmploymentTypeFull-time

Job Description

    Responsibilities: - Create and maintain optimal data pipeline architecture - Assemble large, complex data sets that meet business requirements - Identifying, designing and implementing internal process improvements including redesigning infrastructure for greater scalability, optimizing data delivery, and automating manual processes- Work with Data, Analytics & Tech team to extract, arrange and analyse data- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS technologies - Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition- Works closely with all business units and engineering teams to develop strategy for long term data platform architecture.- Working with stakeholders including data, design, product and executive teams and assisting them with data-related technical issues- Working with stakeholders including the Executive, Product, Data and Design teams to support their data infrastructure needs while assisting with data-related technical issues. Skill Requirements: - SQL - Ruby or Python(Ruby preferred) - Apache-Hadoop based analytics - Data warehousing - Data architecture - Schema design - ML Experience Requirement: - Prior experience of 2 to 5 years as a Data Engineer.- Ability in managing and communicating data warehouse plans to internal teams.- Experience designing, building, and maintaining data processing systems.- Ability to perform root cause analysis on external and internal processes and data to identify opportunities for improvement and answer questions.- Excellent analytic skills associated with working on unstructured datasets.- Ability to build processes that support data transformation, workload management, data structures, dependency and metadata.,

Keyskills :
sqljavadata warehousingbusiness unitsdata processingdata structuresdata architecturebusiness requirementsoperational efficiencyawsrubyroot

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