Sr. Data Engineer | ONSITE
Kaav Inc.
Work Location: ONSITE - Dallas, TX Interview Process: must be able to in-person interview in Dallas, TX KEY SKILLS:
• 5-7 years in Production Support
• 5-7 years data analytics experience using SQL
• 5-7 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 o Scripting: Python, Spark, Unix, SQL Minimum Qualifications:
• Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training
• 5-7 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
• 5-7 years data analytics experience using SQL
• 5-7 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:
o Scripting: Python, Spark, Unix, SQL
o Data Platforms: Teradata, Cassandra, MongoDB, Oracle, SQL Server, ADLS, Snowflake, Azure Data Explorer. Administration skills a plus
o Azure Cloud Technologies: Azure Data Factory, Azure Databricks, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Azure Functions
o CI/CD: GitHub, Jenkins, Azure DevOps, Terraform
o BI Analytics Tool Stack - Cognos, Tableau, Power BI, Alteryx, Denodo, and Grafana
o Clear understanding on Data Warehousing concept
o Data Governance and Privacy: Informatica Axon and EDC, BigID
o Orchestration: Azure Data Factory, Tivoli
Preferred Qualifications- Education & Prior Job Experience
• 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) Required Skills : Data Analysis Basic Qualification : Additional Skills :
Background Check : No
Drug Screen : No
• 5-7 years in Production Support
• 5-7 years data analytics experience using SQL
• 5-7 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 o Scripting: Python, Spark, Unix, SQL Minimum Qualifications:
• Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training
• 5-7 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
• 5-7 years data analytics experience using SQL
• 5-7 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:
o Scripting: Python, Spark, Unix, SQL
o Data Platforms: Teradata, Cassandra, MongoDB, Oracle, SQL Server, ADLS, Snowflake, Azure Data Explorer. Administration skills a plus
o Azure Cloud Technologies: Azure Data Factory, Azure Databricks, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Azure Functions
o CI/CD: GitHub, Jenkins, Azure DevOps, Terraform
o BI Analytics Tool Stack - Cognos, Tableau, Power BI, Alteryx, Denodo, and Grafana
o Clear understanding on Data Warehousing concept
o Data Governance and Privacy: Informatica Axon and EDC, BigID
o Orchestration: Azure Data Factory, Tivoli
Preferred Qualifications- Education & Prior Job Experience
• 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) Required Skills : Data Analysis Basic Qualification : Additional Skills :
Background Check : No
Drug Screen : No
Vacancy posted 5 days ago
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