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Data Engineer - ETL/Data Pipeline

3.00 to 9.00 Years   Gurugram   08 Feb, 2023
HR Consultants
Job LocationGurugram
EducationNot Mentioned
SalaryNot Disclosed
IndustryRecruitment Services
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

    Position - Data EngineerLocation - GurgaonCompany - Eucloid SolutionExp - min 3 - 10 yearsCtc - 10 LPA - 30 LPARole :This position will lead data engineering work around digital marketing and web analytics for its customers online platform. The ideal candidate :- Will work on integration of various data sources to develop a consolidated dataset to run different analytics. May also need to work on the tasks like integration of customer data sources, building customer intelligence and create customer C360 profile.- Will be working on taking out clickstream data from Adobe stack and combining with other data sources.- Will be responsible for customer interaction and will be presenting findings in customer meetings and reviews.- Will collaborate with the different platform teams, data science teams and engineering team in developing data pipelines and that could be leveraged in decision making.- May be needed to work on setting up different components of data infrastructure like data platforms, data pipelines, cloud integration, integration with data lakes.Desired Candidate Profile :- Bachelor degree in a quantitative field (e.g., Engineering, Mathematics, Operations Research, Statistics, etc.) from Tier 1/2 colleges preferred.- 4 to 9 years of professional experience in areas like development of data pipelines, implementation of data lakes, setting up of cloud ecosystem, development of ETL tools etc.- Previous exposure of working with clickstream data coming from Adobe analytics and Google analytics will be given extra consideration.- Previous experience of working directly with clients in US or Europe is mustMindset :- Self-starter mentality with the ability to deliver results - Focused on results and their implications (rather than methods/tools/process)- Comfortable reprioritizing as situations change to maximize our impact - Openness to work with different cultures and working styles- The candidate should be open to work in afternoon shifts (starting around 12 noon or 1 as company may need some overlap time with its US/Europe clients)Key skills required : - Strong AWS Experience. Experience of working on different components of the ecosystem. A certification would be helpful.- Experience with following aspect of data engineering - Building and optimizing - big data- data pipelines, architectures and data sets.- Manipulating, processing and extracting value from large disconnected datasets- Development of data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.-- Knowledge and working experience of Spark/Scala- Good experience with at least one ETL tool like Talend, Informatica etc.- Build processes supporting data transformation, data structures, metadata, dependency and workload management- Expertise in SQL and Relational Databases.- Expertise in at least one of the NoSQL databases.- Any one of Object-oriented object function scripting languages: Python, Java, C++, Scala, etc.,

Keyskills :
sqljavadata warehousinginformaticapythonetl tooletl toolsdata scienceweb analyticscustomer datadata structuresadobe analytics

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