Senior Data Engineer

InfoVision, Inc.
InfoVision, Inc.

Job Overview

Title Senior Data Engineer City Plano, TX Duration 12+ Months Must have skills AWS certified SQL Spark Nice to have Tableau reporting or any reporting tools Data Engineer Create and maintain optimal data pipeline architecture, Assemble large, complex data sets that meet functional non-functional business requirements. Identify, design, and implement internal process improvements automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS lsquobig datarsquo technologies. Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics. Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs. Keep our data separated and secure across national boundaries through multiple data centers and AWS regions. Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader. Work with data and analytics experts to strive for greater functionality in our data systems. Qualifications for Data Engineer Advanced working SQL knowledge and experience working with relational databases,query authoring (SQL) as well as working familiarity with a variety of databases. Experience building and optimizing lsquobig datarsquo data pipelines, architectures and data sets. Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. Strong analytic skills related to working with unstructured datasets. Build processes supporting data transformation, data structures, metadata, dependency and workload management. A successful history of manipulating, processing and extracting value from large disconnected datasets. Working knowledge of message queuing, stream processing, and highly scalable lsquobig datarsquo data stores. Strong project management and organizational skills. Experience supporting and working with cross-functional teams in a dynamic environment. Best regards httpslh5.googleusercontent.comb-g1iUrSj7YML7Un0xN0QD622MGpMiHBQIi4haC-fJB7YAYqkF6PfE5ufbL9mbf2W6xG1D1H7iycb1jiaw5VGKccx3IzXCud5xbtbdGTJFvCPgEAvkBnw-CddN3uyfsUcIw3g https httpslh5.googleusercontent.comynd3Hsuw2UVGJVZ6mf0CAuN1X8y2jHP0JA-Ioidaw6Iqak9wUH7G0mWRRknvi79bo8KYJEJKyTv6TZBeAVdl4SC1m85ZVbDPCgbFdkK9rVvXdXWQytNJsJYouaUfPh8te8qA https cidimage003.png01D5B023.1A61D220 httpslh6.googleusercontent.comwNRdyop1uFlrgojoRrfmKVVmpChOM4sPrI-hEkPf2sq2eT4PCushelGGXu65Ws7GFEE-yrhy1GI3sw4nU303rYAEzumWILOCRKPnJYQHV8IzWpXf4xJ91hEh4mxoUEch-Cgxw8FJ https Charan Varanasi Resource Development Manager c e cidimage002.png01D54227.DDA0D340 cidimage003.png01D54227.DDA0D340 http httpSenior Data Engineer 1

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