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Striim Jobs in Georgia (NOW HIRING)

Data Engineer (IICS & GBQ)

Atlanta, GA · On-site

$110K - $132K/yr

... STRIIM, Kafka, etc). • Experience with other Informatica tools is plus - e.g., Metadata manager, Analyst, DVO, Data Quality. • Exposure to both on-prem and cloud Integration solutions. • ...

Striim information

What is Striim?

Striim is a real-time data integration and streaming platform that enables organizations to collect, process, and deliver data from various sources to a wide range of destinations. A Striim professional typically works with businesses to set up and manage data pipelines, ensuring seamless data flow for analytics, migrations, or cloud integration. Their responsibilities may include configuring connectors, monitoring data streams, troubleshooting issues, and optimizing performance for real-time data delivery. They often collaborate with data engineers, architects, and business stakeholders to support real-time decision-making and analytics.

What are some typical challenges faced by Striim data engineers when integrating real-time data streams into existing enterprise systems?

Striim data engineers often encounter challenges such as handling data consistency across distributed systems, managing schema changes in real-time, and ensuring minimal latency during data ingestion and transformation. Integrating Striim with legacy or diverse enterprise systems can also require significant troubleshooting and customization to maintain data quality and compatibility. Successful engineers work closely with cross-functional teams—including database administrators, application developers, and business analysts—to ensure that real-time data flows seamlessly and reliably to support business needs.

What are the key skills and qualifications needed to thrive as a Striim data engineer, and why are they important?

To thrive as a Striim Data Engineer, you need a solid background in real-time data integration, stream processing, and experience with databases and SQL, typically supported by a degree in computer science or a related field. Proficiency with the Striim platform, knowledge of cloud environments (such as AWS or Azure), and experience with ETL tools or certifications in data engineering are highly valued. Strong problem-solving, communication, and collaboration skills help you work effectively with cross-functional teams and troubleshoot complex data flows. These abilities are crucial for ensuring seamless, reliable real-time data movement and analytics in dynamic enterprise environments.

What is the difference between Striim vs Data Engineer?

AspectStriimData Engineer
Primary RoleReal-time data integration and streaming analytics platformDesigning, building, and maintaining data pipelines and warehouses
Required SkillsData streaming, cloud platforms, SQL, Java/ScalaSQL, ETL, programming (Python, Java), database management
Work EnvironmentTech companies, cloud services, data analytics firmsData teams, IT departments, analytics divisions
CertificationsCloud certifications, data streaming toolsData engineering certifications, cloud certifications

While Striim focuses on real-time data streaming and integration, Data Engineers develop and maintain data pipelines for storage and analysis. Both roles require strong SQL skills and familiarity with cloud platforms, but their core responsibilities differ in scope and focus.

Infographic showing various Striim job openings in Georgia as of August 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 50% Physical, and 50% Remote job distribution.

Lead Azure Engineer MAHIN-JOB-32907

Keylent Inc

Alpharetta, GA • On-site

$97K - $128K/yr

Full-time

Re-posted 12 days ago


Job description

Job Summary:
Keylent Inc is seeking a Lead Azure Engineer to provide technical support and oversee the resolution of complex technical issues related to SQL Server, ETL processes, Databricks, and Striim. The role involves collaborating with team members to improve ETL pipeline performance and maintaining strong customer relationships.
Responsibilities:
• Provide technical support for SQL Server, ETL, Databricks, and Striim.
• Oversee the resolution of technical issues related to SQL Server, ETL processes, Databricks, and Striim.
• Act as the escalation point for complex technical problems, ensuring timely resolution.
• Possess in-depth knowledge of SQL Server, including query optimization, database administration, and troubleshooting.
• Assist in resolving SQL Server-related issues and provide guidance to team members.
• Understand ETL processes thoroughly and assist in identifying and resolving issues related to data extraction, transformation, and loading.
• Collaborate with ETL developers and data engineers to improve ETL pipeline performance.
• Provide support for Databricks platform, including cluster management, job scheduling, and code optimization.
• Troubleshoot Databricks-related issues and assist in streamlining data processing workflows.
• Build and maintain strong customer relationships by providing effective solutions to technical issues.
• Gather customer feedback and work to continuously improve support services.
Qualifications:
Required:
• Azure SQL
• Azure Data Factory
• Azure Logic Apps
• Develop and maintain SQL DB
• Tables, Stored Procs, Views, Indexes, Constraints, etc.
• SSIS
• Performance Tuning of existing pipeline, stored procedure.
• SQL server
• Oracle
• Provide technical support for SQL Server, ETL, Databricks, and Striim.
• Oversee the resolution of technical issues related to SQL Server, ETL processes, Databricks, and Striim.
• Act as the escalation point for complex technical problems, ensuring timely resolution.
• Possess in-depth knowledge of SQL Server, including query optimization, database administration, and troubleshooting.
• Assist in resolving SQL Server-related issues and provide guidance to team members.
• Understand ETL processes thoroughly and assist in identifying and resolving issues related to data extraction, transformation, and loading.
• Collaborate with ETL developers and data engineers to improve ETL pipeline performance.
• Provide support for Databricks platform, including cluster management, job scheduling, and code optimization.
• Troubleshoot Databricks-related issues and assist in streamlining data processing workflows.
• Build and maintain strong customer relationships by providing effective solutions to technical issues.
• Gather customer feedback and work to continuously improve support services.
Company:
Keylent provides Software Development Services in the Cloud, Analytics and Digital Transformation space. Founded in 2010, the company is headquartered in Wilmington, USA, with a team of 201-500 employees. The company is currently Growth Stage.

Keylent logo

About Keylent

Sourced by ZipRecruiter

Keylent Inc, based in Wilmington, DE, US, operates in the dynamic IT services and solutions industry. Their official platform, keylent.com, further details their robust suite of services which primarily comprise software consulting, quality assurance, project management, and business intelligence. Keylent Inc has been an integral part of the industry since its inception, serving diverse clients with their specialized, innovative IT solutions. This customer-centric firm is founded on the core values of reliability, integrity, and zealous innovation. Their mission is to empower businesses in navigating the complex technological landscape with ease, efficiency, and confidence. Notably, Keylent Inc has been recognized for its commitment to exceptional service delivery and the profound impact of its solutions in facilitating business growth.

Industry

Internet and it

Company size

11 - 50 Employees

Headquarters location

Wilmington, DE, US

Year founded

2010

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