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Sr. Data Engineer (Cloud)

Location: Schaumburg
Posted on: May 12, 2022

Job Description:

Are you interested in a compelling career that offers continuous learning and innovation working with talented engineers and professionals? is a rapidly-growing specialist in cloud-native data analytics (---Data Cloud---) implementation and consulting services with talented team with deep Digital Cloud expertise. has partnerships with leading cloud providers like Microsoft Azure, Snowflake, Thoughtspot, Data Robot, etc. Responsibilities: Architect, design and build tools enabling business data owners to easily publish their data. Design and build flexible ETL pipelines to handle a wide variety of data availability requirements. Create an environment for fast access to enriched data (including programmatic APIs and Ad Hoc query interfaces). Author tests to validate data quality and platform stability. Maintain monitoring and alerting systems to ensure availability and reliability. Investigate, resolve time-sensitive data issues and troubleshoot technical issues. Evangelize best practices for both data producers and consumers. Experience: Experience architecting data warehouses and data lakes that are organized, performant, and easy to use. Experience designing, building, and maintaining large, highly available ETL and/or warehousing workloads. Experience designing and implementing data ingestion solutions and data models for large timeseries data sets. Proficient in Public Cloud (Azure/AWS) data services. Understanding of database and analytical technologies in the industry including SQL and NoSQL databases, Data Warehouse design, Reporting and Dashboard development. Experience in structured problem solving and articulation of design approaches to teammates. Demonstrated ability to learn new technology and apply quickly. Desired Skills/Experience: Total 8 years experience in Data engineering with 3 years of experience as a Cloud data Engineer using Python, Spark, PySpark, etc. Azure Cloud Experience (preferred) , or AWS. Preferred experience in Azure platform including Azure Data Lake (bronze, silver), Data Bricks, Data Factory. Familiarity working in a data lake environment, leveraging data streaming and developing data pipelines driven by events/queues. Strong database experience in SQLserver, Snowflake etc. Preferred experience in NoSQL databases like MongoDB and Hbase. Familiarity with data encryption, data masking. Working knowledge on different file formats such as JSON, Parquet, CSV, etc. We offer: Competitive compensation Medical, Dental, Vision benefits 401(k) Work-life balance and flexible work arrangements PTO & paid holidays Continuous learning and innovation

Keywords:, Schaumburg , Sr. Data Engineer (Cloud), Engineering , Schaumburg, Illinois

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