Data Engineer
Apply NowCompany: GSK Solutions, Inc.
Location: Tampa, FL 33647
Description:
Role: Senior Data Engineer
Location: Tampa, Florida
10+years of exp Candidates only
Responsibilities:
Collaborate with product owners and data source teams to design, develop, and implement scalable data engineering solutions.
Develop data pipelines and migration strategies using Azure technologies such as Azure Data Lake, Azure Data Factory, Azure Functions, and Event Hub.
Implement batch and streaming data pipelines to process and analyze real-time data efficiently.
Lead and support data warehousing initiatives, ensuring optimized storage, retrieval, and transformation of large datasets.
Work within a DevOps team, owning the development, deployment, and monitoring of data solutions.
Optimize data architecture for performance, reliability, and scalability.
Enforce coding standards, best practices, and security guidelines across the team.
Provide technical mentorship to junior team members.
Required Qualifications:
Bachelor's degree in Computer Science, Information Systems, Engineering, or related field, or equivalent experience.
9+ years of experience in software development and data engineering.
7+ years of experience in SQL-based data analytics.
5+ years of experience working with Azure cloud technologies.
Experience with data platforms such as Teradata, MongoDB, SQL Server, and Snowflake.
Strong programming skills in Python, Spark, and Unix scripting.
Hands-on experience in CI/CD, DevOps, and Infrastructure as Code (IaC) using GitHub, Jenkins, and Terraform.
Preferred Qualifications:
5+ years of experience in data engineering and cloud development.
3+ years of experience in full-stack development on Azure.
Familiarity with BI and data visualization tools like Tableau, Power BI, and Cognos.
Experience in data governance and privacy compliance using Informatica Axon, BigID, and EDC.
Airline industry experience is a plus.
Location: Tampa, Florida
10+years of exp Candidates only
Responsibilities:
Collaborate with product owners and data source teams to design, develop, and implement scalable data engineering solutions.
Develop data pipelines and migration strategies using Azure technologies such as Azure Data Lake, Azure Data Factory, Azure Functions, and Event Hub.
Implement batch and streaming data pipelines to process and analyze real-time data efficiently.
Lead and support data warehousing initiatives, ensuring optimized storage, retrieval, and transformation of large datasets.
Work within a DevOps team, owning the development, deployment, and monitoring of data solutions.
Optimize data architecture for performance, reliability, and scalability.
Enforce coding standards, best practices, and security guidelines across the team.
Provide technical mentorship to junior team members.
Required Qualifications:
Bachelor's degree in Computer Science, Information Systems, Engineering, or related field, or equivalent experience.
9+ years of experience in software development and data engineering.
7+ years of experience in SQL-based data analytics.
5+ years of experience working with Azure cloud technologies.
Experience with data platforms such as Teradata, MongoDB, SQL Server, and Snowflake.
Strong programming skills in Python, Spark, and Unix scripting.
Hands-on experience in CI/CD, DevOps, and Infrastructure as Code (IaC) using GitHub, Jenkins, and Terraform.
Preferred Qualifications:
5+ years of experience in data engineering and cloud development.
3+ years of experience in full-stack development on Azure.
Familiarity with BI and data visualization tools like Tableau, Power BI, and Cognos.
Experience in data governance and privacy compliance using Informatica Axon, BigID, and EDC.
Airline industry experience is a plus.