Looking for Data Engineer - Jackson, MI

view the job in browser: Jobboard.aquainsys.com


Title: Data Engineer
Location: Jackson, MI


Detail:
Job Overview : Looking for Qualified and Experienced data engineer to join our Data analytics and Services team of experts , The engineer will be responsible for partnering with various analytics team and collate various data requirements and design and built data pipelines/architecture as per IT best practices defined. Job Responsibilities : Work with Various Stakeholders /IT to design and built efficient data pipelines  Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics. Assemble and clean BIG data , complex data set including various data sources as  SAP , Non SAP(Oracle/SQL,Postgres, Sharepoint), SAP HANA, SAP ECC , SAP BW across various Domains to meet functional insights. Built and design various ETL’s using technologies like SAP BODS, SAP HANA, Attunity Replicate, Informatica as per IT standards for Cloud and In Premise solutions of Data lake. Create Data analytics visualization insights using various Tools like Power BI/Tableau . Assemble Large, complex data sets to meet functional business requirements . Identify and improve internal process to automate manual data wrangling, optimizing performance  and data quality . Qualifications : Advance Working SQL Knowledge and experience working with various SAP products, SAP HANA, MemSQL , Relational Databases as well as familiarity working with various databases. Strong analytics and Problem Solving Skills Minimum 5 year experience building Big data pipelines. 7+ years in advance SQL, Python, Tableau , R Studio or BI tools, must have strong experience working with various domains 2+ years of experience working with  Utilities  and strong Business acumen . 3+ year of  Experience in various ETL tools extracting data using SAP BODS, Attunity Replicate  from SAP(ECC and BW) , Non SAP Source. Experience in creating a data warehouse, design-related extraction, loading data functions, testing designs, data modeling, and ensure the smooth running of applications 

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Thanks and Regards,

Y. PREMKUMAR

Aqua Information Systems Inc.



300 N Pottstown Pike, Suite # 130


Exton, PA 19341


Direct: 215-666-6795


Fax: 215-600-1617



Email:

pyellapu@aquainsys.com





URL:

www.aquainsys.com








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