Do NOT apply if you are :- A machine learning aspirant- A data scientist- Wanting to write Python scripts- Want to do AI - Want to do 'BIG' data- Want to do HADOOP- Fresh GraduateApply if you :- Write SQL for complicated analytical queries . - Understand existing business problem of the client and map their needs to the schema that they have.-Can neatly disassemble the problem into components and solve the needs by using SQL. - Have worked on existing BI products like Power BI , Tableau , QlikView, DomoDevelop solutions with our exciting new BI product for our clients.You should be very experienced and comfortable with writing SQL against very complicated schema to help answer business questions.Have an analytical thought process.
Job Description: The Data Engineering team is one of the core technology teams of Lumiq.ai and is responsible for creating all the Data related products and platforms which scale for any amount of data, users, and processing. The team also interacts with our customers to work out solutions, create technical architectures and deliver the products and solutions. If you are someone who is always pondering how to make things better, how technologies can interact, how various tools, technologies, and concepts can help a customer or how a customer can use our products, then Lumiq is the place of opportunities. Who are you? Enthusiast is your middle name. You know what’s new in Big Data technologies and how things are moving Apache is your toolbox and you have been a contributor to open source projects or have discussed the problems with the community on several occasions You use cloud for more than just provisioning a Virtual Machine Vim is friendly to you and you know how to exit Nano You check logs before screaming about an error You are a solid engineer who writes modular code and commits in GIT You are a doer who doesn’t say “no” without first understanding You understand the value of documentation of your work You are familiar with Machine Learning Ecosystem and how you can help your fellow Data Scientists to explore data and create production-ready ML pipelines Eligibility At least 2 years of Data Engineering Experience Have interacted with Customers Must Have Skills: Amazon Web Services (AWS) - EMR, Glue, S3, RDS, EC2, Lambda, SQS, SES Apache Spark Python Scala PostgreSQL Git Linux Good to have Skills: Apache NiFi Apache Kafka Apache Hive Docker Amazon Certification
Description Requirements: Overall experience of 10 years with minimum 6 years data analysis experience MBA Finance or Similar background profile Ability to lead projects and work independently Must have the ability to write complex SQL, doing cohort analysis, comparative analysis etc . Experience working directly with business users to build reports, dashboards and solving business questions with data Experience with doing analysis using Python and Spark is a plus Experience with MicroStrategy or Tableau is a plu
Exusia, Inc. (ex-OO-see-ah: translated from Greek to mean "Immensely Powerful and Agile") was founded with the objective of addressing a growing gap in the data innovation and engineering space as the next global leader in big data, analytics, data integration and cloud computing solutions. Exusia is a multinational, delivery centric firm that provides consulting and software as a service (SaaS) solutions to leading financial, government, healthcare, telecommunications and high technology organizations facing the largest data volumes and the most complex information management requirements. Exusia was founded in the United States in 2012 with headquarters in New York City and regional US offices in Chicago, Atlanta and Los Angeles. Exusia’s international presence continues to expand and is driven from Toronto (Canada), Sao Paulo (Brazil), Johannesburg (South Africa) and Pune (India). Our mission is to empower clients to grow revenue, optimize costs and satisfy regulatory requirements through the innovative use of information and analytics. We leverage a unique blend of strategy, intellectual property, technical execution and outsourcing to enable our clients to achieve significant returns on investment for their business, data and technology initiatives. At the core of our philosophy is a quality-first, trust-building, delivery-focused client relationship. The foundation of this relationship is the talent of our team. By recruiting and retaining the best talent in the industry, we are able to deliver to clients, whose data volumes and requirements number among the largest in the world, a broad range of customized, cutting edge solutions.