Hylaine
Overview
As a Senior Data Intelligence Consultant, you form the backbone of our consulting pool. You will be exposed to a little bit of everything, with a strong focus on databases, ETL, and data visualization tools. Responsibilities
Solve challenging business and technical problems. Design and develop BI strategies to include assisting with ETL, data modeling, data warehousing, cloud solutions, and building new reports and dashboards. Grow in your career and enhance your technical abilities. Qualifications
5+ years of development experience. Database development experience with a relational database (ideally Oracle or SQL Server). Ability to build conceptual, logical and physical data models, data flows, and create data management. Experience in Big Data/Data Warehousing at scale - Including but not limited to Hadoop, Snowflake, Google BigQuery, Azure Data Lakes, Azure Synapse Analytics, Amazon Redshift, AWS EMR Some Cloud Experience in a major CSP (AWS, Azure, Google Cloud) Strong written and verbal communication skills to work with our team and our clients. Extra Credit
Agile methodologies and DevOps basics as they pertain to data Cloud Technologies Architecture basics of AWS, Azure or Google Cloud - i.e. compute, storage, and permissions Understanding differences between VM and containers as well as knowledge of container orchestration technologies Artificial Intelligence or Machine Learning Understanding Data Warehouse vs Data Lake vs Lakehouse concepts and tradeoffs Seniority level
Mid-Senior level Employment type
Full-time Job function
Information Technology Industries
IT Services and IT Consulting
#J-18808-Ljbffr
As a Senior Data Intelligence Consultant, you form the backbone of our consulting pool. You will be exposed to a little bit of everything, with a strong focus on databases, ETL, and data visualization tools. Responsibilities
Solve challenging business and technical problems. Design and develop BI strategies to include assisting with ETL, data modeling, data warehousing, cloud solutions, and building new reports and dashboards. Grow in your career and enhance your technical abilities. Qualifications
5+ years of development experience. Database development experience with a relational database (ideally Oracle or SQL Server). Ability to build conceptual, logical and physical data models, data flows, and create data management. Experience in Big Data/Data Warehousing at scale - Including but not limited to Hadoop, Snowflake, Google BigQuery, Azure Data Lakes, Azure Synapse Analytics, Amazon Redshift, AWS EMR Some Cloud Experience in a major CSP (AWS, Azure, Google Cloud) Strong written and verbal communication skills to work with our team and our clients. Extra Credit
Agile methodologies and DevOps basics as they pertain to data Cloud Technologies Architecture basics of AWS, Azure or Google Cloud - i.e. compute, storage, and permissions Understanding differences between VM and containers as well as knowledge of container orchestration technologies Artificial Intelligence or Machine Learning Understanding Data Warehouse vs Data Lake vs Lakehouse concepts and tradeoffs Seniority level
Mid-Senior level Employment type
Full-time Job function
Information Technology Industries
IT Services and IT Consulting
#J-18808-Ljbffr