Hylaine
Position Description
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.
What you'll Do
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.
What you'll need
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 – e.g., compute, storage, and permissions.
Understanding differences between VM and containers and knowledge of container orchestration technologies.
Artificial Intelligence or Machine Learning
Including but not limited to R, Python, TensorFlow, PyTorch, AutoML, OpenML, Julia, Jupyter.
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
Referrals increase your chances of interviewing at Hylaine by 2x
#J-18808-Ljbffr
What you'll Do
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.
What you'll need
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 – e.g., compute, storage, and permissions.
Understanding differences between VM and containers and knowledge of container orchestration technologies.
Artificial Intelligence or Machine Learning
Including but not limited to R, Python, TensorFlow, PyTorch, AutoML, OpenML, Julia, Jupyter.
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
Referrals increase your chances of interviewing at Hylaine by 2x
#J-18808-Ljbffr