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| Job Location | Bangalore |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | IT - Software |
| Functional Area | IT Operations / EDP / MIS |
| EmploymentType | Full-time |
Our Data Engineers are responsible for envisioning, designing, building, and maintaining solutions that address a wide variety of data objectives from traditional ETL & business intelligence to supplying data needed to build sophisticated models that will become part of our products.Our Data Engineers are responsible for: Working closely with product teams and data scientists to determine how to capture, persist, and maintain data. Building distributed, scalable, and reliable data pipelines that ingest and process data at scale with ever diminishing time processing windows. Identifying opportunities in our data landscape where we need data enrichment Identifying and make recommendations on data storage solutions using alternate technologies Analysing and recommending alternate persistence solutions Serving as a resource for the Data Sciences team to include new data into their analytic environment Gathering requirements from analysts and the larger business community to optimize, unify, and simplify data according to business needs.The role we are currently looking to fill will originally be primarily responsible for exploring, making recommendations, and implementing enterprise data solutions primarily in our snowflake data warehouse.Data Engineer Experience Required: Exceptional ELT/ETL background with data transformation and operational experience. Strong SQL Proficiency with Snowflake including analytic queries and other complex use cases. Experience with SQL Query Tuning, data investigation, and optimization Experience with Snowflake cloud data warehouse administration. Experience modelling star schemas and other summary objects based on business requirements Experience building large data stores, modern data warehouse, or advanced data processing solutions Experience with AWS tools and infrastructure. Particularly in regards to s3 storage, Kafka, and data pipelines Good exposure working with multi-shored and multi-cultural teams. Ability to work in-groups as well as independently with a strong initiative to learn new technologies and tools quickly. Efficient team player with exceptional communication skills and good interaction with users Solid understanding of Computer Science fundamentals BS in Computer Science or equivalent combination of education and experienceData Engineer Experience Recommended: Understanding of Oracle, SQL Server, Mongo and other database systems Scripting experience with Powershell and Python Experience with WhereScape RED ELT Software Understanding of modern data warehouse architectures such as data vaul
Keyskills :
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