Team Assistant

Role : Sr Data Engineer Experience :5+Years Company Profile :is an AI tech organization with presence across India, Singapore,Middle East, and the We are an innovative and disruptiveorganization, working on cutting edge technology to help ourclients transform into the enterprises of the We provide artificialintelligence-based products/platforms capable of automatedcognitive decision making to improve productivity, quality, andeconomics of the underlying business Currently, we are transformingourselves and rapidly expanding ourhas developed long term relationships with world class clients suchas Pay Pal, PayU, SBI Group, HDFC Life, Kotak Securities, Wockhardtand Adani Group amongst Oneof the top partners of Cloudera (leading analytics player) and Qlik(leader in BI technologies), has recently been awarded Innovation Partner Award by Qlik in Getto know more about us on ourwebsite:andLifee Overview: A Sr Data Engineer who understands client requirements, developsand delivers the analytical solutions as per the The role requiresgood business understanding, ETL development, data modeling and APIdevelopment experience onJob Responsibilities Designand development of data solution including data lake, data martsand other data solutions to support the analytics needs of theorganization Applybest practices during design in data modeling (logical, physical) and ETL pipelines (streaming andbatch) Design,develop and manage the pipelining (collection, storage, access),data engineering (data quality, ETL, Data Modeling) andunderstanding (documentation, exploration) of thedata; Interactwith stakeholders regarding data availability and reportformat/presentation, to ensure the report provides the informationthe stakeholders need without compromising the report saccuracy; .

Mustbe able to manage small team of technical developers to deliver theend to endRequired Skills: Handson experience with AWS data components is required ( S3, Redshift,Athena, EMR, Kinesis andGlue); Theability to design, implement and use effective database structuresto ensure data is organised effectively and ready for downstreamdevelopment of data science andanalytics; Experienceworking in a structured environment and desire for gooddocumentation, exceptional delivery, effective organisation, andhigh-qualitycommunication; Strong SQL and data profilingskills; Hands-onELT experience using tools like Streams and Tasks orDBT; Familiaritywith a traditional BI application such as Power BI, Tableau or Spotfire; Experiencewith object-oriented/object function scripting languages: Python,Java, C++, Scala,Solidunderstanding of data warehousing principles, concepts and bestpractices ( ODS, Data Mart, Data Lakes, Data Vault); Strongproblem solving and analytic