Jobs via Dice
Title
Data Engineer
Location Dallas, TX (DAY 1 onsite)
Minimum Qualifications
Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training
3-5 years software solution development using agile, DevOps, operating in a product model that includes designing, developing, and implementing large-scale applications or data engineering solutions
3-5 years data analytics experience using SQL
3-5 years of cloud development and data lake experience (prefer Microsoft Azure) including Azure EventHub, Azure Data Factory, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Power BI.
Combination of Development, Administration & Support experience in several of the following tools/platforms required:
Scripting: Python, Spark, Unix, SQL
Data Platforms: Teradata, Cassandra, MongoDB, Oracle, SQL Server, ADLS, Snowflake, Azure Data Explorer. Administration skills a plus
Azure Cloud Technologies: Azure Data Factory, Azure Databricks, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Azure Functions
CI/CD: GitHub, Jenkins, Azure DevOps, Terraform
BI Analytics Tool Stack - Cognos, Tableau, Power BI, Alteryx, Denodo, and Grafana
Clear understanding on Data Warehousing concept
Data Governance and Privacy: Informatica Axon and EDC, BigID
Orchestration: Azure Data Factory, Tivoli
Preferred Qualifications
5-7 years software solution development using agile, dev ops, product model that includes designing, developing, and implementing large-scale applications or data engineering solutions
5-7 years data analytics experience using SQL
5-7 years of cloud development and data lake experience (prefer Microsoft Azure) including Azure Data Factory, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Power BI.
Azure (Data Factory, Azure Functions, ADX, Event Hub, ASA) experience
Airline Industry Experience
Skills, Licenses & Certifications
Expertise with the Azure Technology stack for data management, data ingestion, capture, processing and curation
Expertise in providing practical direction within the Azure Native cloud services.
Azure Development Track Certification (preferred)
Spark Certification (preferred)
Seniority level Mid-Senior level
Employment type Full-time
Job function Information Technology
Industries Software Development
#J-18808-Ljbffr
Location Dallas, TX (DAY 1 onsite)
Minimum Qualifications
Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training
3-5 years software solution development using agile, DevOps, operating in a product model that includes designing, developing, and implementing large-scale applications or data engineering solutions
3-5 years data analytics experience using SQL
3-5 years of cloud development and data lake experience (prefer Microsoft Azure) including Azure EventHub, Azure Data Factory, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Power BI.
Combination of Development, Administration & Support experience in several of the following tools/platforms required:
Scripting: Python, Spark, Unix, SQL
Data Platforms: Teradata, Cassandra, MongoDB, Oracle, SQL Server, ADLS, Snowflake, Azure Data Explorer. Administration skills a plus
Azure Cloud Technologies: Azure Data Factory, Azure Databricks, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Azure Functions
CI/CD: GitHub, Jenkins, Azure DevOps, Terraform
BI Analytics Tool Stack - Cognos, Tableau, Power BI, Alteryx, Denodo, and Grafana
Clear understanding on Data Warehousing concept
Data Governance and Privacy: Informatica Axon and EDC, BigID
Orchestration: Azure Data Factory, Tivoli
Preferred Qualifications
5-7 years software solution development using agile, dev ops, product model that includes designing, developing, and implementing large-scale applications or data engineering solutions
5-7 years data analytics experience using SQL
5-7 years of cloud development and data lake experience (prefer Microsoft Azure) including Azure Data Factory, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Power BI.
Azure (Data Factory, Azure Functions, ADX, Event Hub, ASA) experience
Airline Industry Experience
Skills, Licenses & Certifications
Expertise with the Azure Technology stack for data management, data ingestion, capture, processing and curation
Expertise in providing practical direction within the Azure Native cloud services.
Azure Development Track Certification (preferred)
Spark Certification (preferred)
Seniority level Mid-Senior level
Employment type Full-time
Job function Information Technology
Industries Software Development
#J-18808-Ljbffr