Hi *Folks*, Hope you're doing great there..!
I am wondering if you have a consultant available for the below position, if so please respond to me with their most updated resume and the best contact number to reach them to discuss the below role ASAP. Please respond back to asi...@tranzeal.com *NOTE : Need 10+ Years’ Experience..!!!!!!!* *Job Title: Data Engineer * *Location: Sunnyvale, CA (LOCAL’S ONLY)* *Duration: 6+ months contract* *Responsibilities for Data Engineer* • Create and maintain optimal data pipeline architecture for data intensive applications. • 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 Azure SQL, Cosmo DB, Databricks and other legacy databases. • 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 Azure 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. • Extensive Experience on Databricks on Azure Cloud platform, deep understanding on Delta lake, Lake House Architecture. • Programming experience on Python, Shell scripting, PySpark, and other data programming language. • 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 Data Visualization Dashboard, Metrics and etc. • 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 ‘big data’ data stores. • Familiar with Deployment tool like Docker and building CI/CD pipelines. • Experience supporting and working with cross-functional teams in a dynamic environment. • 8+ years’ experience in software development, Data engineering, and • Bachelor’s degree in computer science, Statistics, Informatics, Information Systems or another quantitative field. Postgraduate/master’s degree is preferred. • Experience in Machine Learning and Data Modeling is a plus. *Additional Job Details * • 8+ years’ experience in software development, Data engineering, and • Bachelor’s degree in computer science, Statistics, Informatics, Information Systems or another quantitative field. Postgraduate/master’s degree is preferred. • Experience in Machine Learning and Data Modeling is a plus Thanks & Regards *Avisheak Singh* asi...@tranzeal.com www.tranzeal.co <https://rgcbv.com/click?redirect=http%3A%2F%2Fwww.tranzeal.co&dID=1666815079615&linkName=www.tranzeal.co> m -- You received this message because you are subscribed to the Google Groups "Powerbuilder Assignments" group. To unsubscribe from this group and stop receiving emails from it, send an email to powerbuilder-assignments+unsubscr...@googlegroups.com. To view this discussion on the web visit https://groups.google.com/d/msgid/powerbuilder-assignments/CAGMMjPOhxCjDmx4G%3DA5E_E1f%3DLsB9ik%3DTUU5ZNgKAXrtoLe3cg%40mail.gmail.com.
