Overview
Hybrid
Depends on Experience
Full Time
Skills
Informatica PowerCenter
IICS
ETL
ELT
Databricks
Cribl
Azure DevOps
Job Details
Only s
Job Title : Data Engineer Duration : Full Time/Permanent Location : Issaquah, WA Hybrid (onsite 3 days per week)
Required:
Experience engineering and operationalizing data pipelines with large and complex datasets.
Hands-on experience with Informatica PowerCenter and/or IICS.
Experience with Cribl, Confluent/Kafka, Big Panda.
Experience working with Cloud technologies such as ADLS, Azure Databricks, Spark, Azure Synapse, Cosmos DB and other big data technologies.
Extensive experience working with various data sources (DB2, SQL, Oracle, flat files (csv, delimited), APIs, XML, JSON.
Advanced SQL skills required. Solid understanding of relational databases and business data; ability to write complex SQL queries against a variety of data sources.
Experience with Data Modeling, ETL, and Data Warehousing.
Strong understanding of database storage concepts (data lake, relational databases, NoSQL, Graph, data warehousing).
Experience in delivering business insights using advanced statistical and machine learning models and visualization.
Proficiency in working with diverse databases and other data sources.
Experience with Git / Azure DevOps.
Job Title : Data Engineer Duration : Full Time/Permanent Location : Issaquah, WA Hybrid (onsite 3 days per week)
Required:
Experience engineering and operationalizing data pipelines with large and complex datasets.
Hands-on experience with Informatica PowerCenter and/or IICS.
Experience with Cribl, Confluent/Kafka, Big Panda.
Experience working with Cloud technologies such as ADLS, Azure Databricks, Spark, Azure Synapse, Cosmos DB and other big data technologies.
Extensive experience working with various data sources (DB2, SQL, Oracle, flat files (csv, delimited), APIs, XML, JSON.
Advanced SQL skills required. Solid understanding of relational databases and business data; ability to write complex SQL queries against a variety of data sources.
Experience with Data Modeling, ETL, and Data Warehousing.
Strong understanding of database storage concepts (data lake, relational databases, NoSQL, Graph, data warehousing).
Experience in delivering business insights using advanced statistical and machine learning models and visualization.
Proficiency in working with diverse databases and other data sources.
Experience with Git / Azure DevOps.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.