Hi, Greetings to you..! *Data Engineer role* *remote *
*Banking // Finance is Must* Role and Responsibilities • 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 Data ETL from a wide variety of data sources using SQL and AWS 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. • 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 • Advanced working SQL experience; query authoring and tuning with a variety of databases. • Experience building and optimizing reliable data pipelines, data architectures and composing 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 various disparate datasets, to make them interoperable • Working knowledge of message queuing, stream processing, and data stores. • Strong project management and organizational skills. • Experience supporting and working with cross-functional teams in a dynamic environment. • 5+ years of experience in a Data Engineering role, with a degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. Tools qualifications: • Experience with relational SQL and NoSQL databases • Experience with data pipeline and workflow management tools. • Preferred experience with AWS cloud services • Preferred experience with object-oriented and function scripting languages: Java, Scala, Python or similar. Thanks and regards, G Rathan -- You received this message because you are subscribed to the Google Groups "Android Developers" group. To unsubscribe from this group and stop receiving emails from it, send an email to android-developers+unsubscr...@googlegroups.com. To view this discussion on the web visit https://groups.google.com/d/msgid/android-developers/614234c1-c323-48b1-8028-81e20595e6ffn%40googlegroups.com.
