Qureos Mentor

Infogain

<p></p><div><p>ROLES &amp; RESPONSIBILITIES</p>
<div><p><b>Core Skills</b></p><ul><li><p>
Extract clean facts from notes and pinpoint the real &ldquo;fixed&rdquo; time for each case (traditional ML where needed).</p></li><li><p>
Assemble the right datasets in Microsoft Fabric/OneLake that agents and dashboards will use&mdash;kept accurate and up to date.</p></li><li><p>
Build simple prediction scores (e.g., &ldquo;likely remote fix,&rdquo; &ldquo;likely wrong part&rdquo;) to guide agent decisions.</p></li><li><p>
Tune Data Agents and Power BI so plain-language questions return correct, consistent answers (context + instructions).</p></li><li><p>
Set up quality checks and evals to verify results regularly (are answers grounded? are predictions accurate?).</p></li></ul></div>
<p>EXPERIENCE</p>
<ul><div>8-11 Years</div>
</ul><p>SKILLS</p>
<ul><div>Primary Skill: Data Science</div>
<div>Sub Skill(s): Data Science
</div><div>Additional Skill(s): Data Science</div>
</ul><p>ABOUT THE COMPANY</p>
<p>Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail &amp; CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP).</p>
<p>
Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Krak&oacute;w, Noida, Gurgaon, Mumbai, Pune, and Bengaluru.</p></div>

Data Science Analyst (Lead)

<p></p><div><p>ROLES &amp; RESPONSIBILITIES</p>
<div><p><b>Core Skills</b></p><p>
 Expert knowledge of statistics and probability theory Proficiency in at least one programming language such as Python, R, or SQL Advanced experience with data visualization tools such as Tableau or PowerBI Expert understanding of machine learning algorithms and models Advanced knowledge of data cleaning and preprocessing techniques Experience with data analysis and interpretation Strong communication and presentation skills</p></div>
<p>EXPERIENCE</p>
<ul><div>8-11 Years</div>
</ul><p>SKILLS</p>
<ul><div>Primary Skill: Data Science</div>
<div>Sub Skill(s): Data Science
</div><div>Additional Skill(s): Python, Data Modeling, Data Science</div>
</ul><p>ABOUT THE COMPANY</p>
<p>Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail &amp; CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP).</p>
<p>
Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Krak&oacute;w, Noida, Gurgaon, Mumbai, Pune, and Bengaluru.</p></div>

<p></p><div><p>ROLES &amp; RESPONSIBILITIES</p>
<div><p>ABOUT THE ROLE:</p><p>
We are looking for an experienced AWS Databricks Engineer to join our data engineering team. The ideal candidate will have hands-on experience designing, developing, and maintaining scalable data pipelines using Databricks on AWS cloud infrastructure.</p><div></div><p>
KEY RESPONSIBILITIES:</p><ul><li><p>
Design, develop, and optimize scalable data pipelines and workflows using Databricks and Apache Spark on AWS.</p></li><li><p>
Collaborate with data scientists, analysts, and other stakeholders to transform data into actionable insights.</p></li><li><p>
Implement data ingestion processes from various sources including S3, RDS, Redshift, and external APIs.</p></li><li><p>
Optimize Spark jobs for performance and cost efficiency.</p></li><li><p>
Monitor and troubleshoot data workflows, ensuring data quality and integrity.</p></li><li><p>
Automate deployment and orchestration of data pipelines using AWS services like Lambda, Step Functions, or Glue.</p></li><li><p>
Maintain security and governance standards in cloud data environments.</p></li><li><p>
Document processes, data lineage, and architecture designs.</p></li></ul></div>
<p>EXPERIENCE</p>
<ul><div>6-8 Years</div>
</ul><p>SKILLS</p>
<ul><div>Primary Skill: Data Engineering</div>
<div>Sub Skill(s): Data Engineering
</div><div>Additional Skill(s): Data Engineering, Azure-Apps, Azure-Infra, synapse, databricks, Azure Datalake, Azure Data Factory</div>
</ul><p>ABOUT THE COMPANY</p>
<p>Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail &amp; CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP).</p>
<p>
Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Krak&oacute;w, Noida, Gurgaon, Mumbai, Pune, and Bengaluru.</p></div>

Azure Data Engineer (Senior)

<p></p><div><p>ROLES &amp; RESPONSIBILITIES</p>
<div><p><b>About the Role</b></p><p>
We are seeking a highly skilled Lead Data Engineer to define and drive the data migration strategy from legacy RDBMS platforms to PostgreSQL for a mission-critical billing and invoicing system. This role requires a hands-on technical leader who can design the migration architecture, oversee implementation, and ensure seamless transition without disruption to core business functions.<br>
<br>
The ideal candidate will have deep expertise in data migration frameworks, large-scale distributed processing (Spark preferred), and experience with both open-source and AWS ecosystem tools. They will work closely with business stakeholders and customers to manage expectations, deliver with precision, and ensure system reliability and performance post-migration.</p><p><b>
Key Responsibilities</b></p><ul><li>Define and Own Migration Strategy</li><li>Architect end-to-end data migration solution from RDBMS to PostgreSQL.</li><li><b>Evaluate open-source and AWS-native tools (e.g., AWS DMS, Glue, EMR, Schema Conversion Tool).</b></li><li>Design frameworks for schema conversion, bulk data loads, CDC (Change Data Capture), and reconciliation.</li></ul><br>
<ul><li>Technical Leadership</li><li>Lead a team of data engineers to execute migration plans.</li><li>Establish coding, testing, and validation standards to ensure accuracy and performance.</li><li>Leverage Spark (preferred compute engine) for high-volume transformation and migration workloads.</li></ul><br>
<ul><li>Customer &amp; Stakeholder Management</li><li>Engage with business and customer teams to align migration timelines with billing cycle dependencies.</li><li>Manage customer expectations through transparent planning, reporting, and risk management.</li><li>Serve as the escalation point for migration challenges.</li></ul><br>
<ul><li>Performance, Reliability &amp; Compliance</li><li>Ensure zero or minimal downtime for the billing and invoicing systems during migration.</li><li>Implement data validation and reconciliation frameworks to guarantee accuracy.</li><li>Adhere to compliance and security requirements for sensitive customer and financial data.</li></ul><p><b>
Required Qualifications</b></p><ul><li>8+ years of experience in Data Engineering, with at least 3 years in a lead or architect role.</li><li><b>Proven expertise in RDBMS-to-PostgreSQL migration projects.</b></li><li>Strong hands-on experience with Apache Spark for large-scale data transformations.</li><li>Solid knowledge of AWS Data Services (Glue, EMR, RDS, S3, IAM).</li><li>Strong SQL/PLSQL experience, knowledge of data validation frameworks and reconciliation techniques.</li><li>Ability to design and implement highly available, secure, and scalable data pipelines.</li><li>Excellent communication skills to manage stakeholders and set customer expectations.</li></ul><p><b>
Preferred Skills</b></p><ul><li>Experience with billing/invoicing or financial systems.</li><li>Familiarity with Terraform or Infrastructure-as-Code (IaC).</li><li>Strong SQL and performance tuning expertise in PostgreSQL.</li><li>Knowledge of DevOps/DataOps best practices.</li></ul></div>
<p>EXPERIENCE</p>
<ul><div>8-11 Years</div>
</ul><p>SKILLS</p>
<ul><div>Primary Skill: Data Engineering</div>
<div>Sub Skill(s): Data Engineering
</div><div>Additional Skill(s): Python, postgreSQL Development, AWS-Apps, SQL, Apache Spark, AWS DBA</div>
</ul><p>ABOUT THE COMPANY</p>
<p>Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail &amp; CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP).</p>
<p>
Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Krak&oacute;w, Noida, Gurgaon, Mumbai, Pune, and Bengaluru.</p></div>

AWS Data Engineer (Senior)

<p></p><div><p>ROLES &amp; RESPONSIBILITIES</p>
<div><p><b>Core Skills</b></p><ul><li><p>
Bachelor's degree in Computer Science, Engineering, or a related field.</p></li><li><p>
Proven experience as a Full Stack Developer or similar role.</p></li><li><p>
Strong proficiency in AWS services and cloud-native architecture.</p></li><li><p>
Expertise in .NET framework and Vue.js for front-end and back-end development.</p></li><li><p>
Experience with API development and web services.</p></li><li><p>
Exposure to machine learning adoption, including model training, scoring, and ML Ops.</p></li><li><p>
Hands-on experience with containerization and orchestration technologies (e.g., Docker, Kubernetes).</p></li><li><p>
Familiarity with CI/CD pipelines and DevOps practices.</p></li><li><p>
Strong problem-solving skills and attention to detail.</p></li><li><p>
Excellent communication and teamwork skills.</p></li><li><p>
Proven leadership experience and the ability to mentor and guide a team.</p></li></ul><p><b>
Description:</b></p><ul><li><p>
Lead the design, development, and maintenance of cloud-native applications using AWS, .NET, and Vue.js.</p></li><li><p>
Oversee the development and integration of APIs and web services.</p></li><li><p>
Collaborate with data scientists and ML engineers to integrate machine learning models into production environments.</p></li><li><p>
Implement ML Ops practices to streamline and automate the deployment and monitoring of ML models.</p></li><li><p>
Utilize AWS services to build and manage scalable and resilient infrastructure.</p></li><li><p>
Ensure best practices in security, scalability, and performance for cloud-native applications.</p></li><li><p>
Mentor and lead a team of developers, providing guidance and support to ensure successful project delivery.</p></li><li><p>
Work closely with cross-functional teams to understand business requirements and translate them into technical solutions.</p></li><li><p>
Stay up-to-date with emerging technologies and industry trends in cloud computing, machine learning, and software development.</p></li></ul></div><p></p>
<p>EXPERIENCE</p>
<ul><div>11-12 Years</div>
</ul><p>SKILLS</p>
<ul><div>Primary Skill: .NET Development</div>
<div>Sub Skill(s): .NET Development
</div><div>Additional Skill(s): .NET Core, ASP.Net, C#, AWS-Apps, AWS CodeDeploy, AWS CodeBuild, AWS CodePipeline, AWS Config, AWS CodeCommit</div>
</ul><p>ABOUT THE COMPANY</p>
<p>Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail &amp; CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP).</p>
<p>
Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Krak&oacute;w, Noida, Gurgaon, Mumbai, Pune, and Bengaluru.</p></div>

.NET Core Developer (Lead)

Join Infogain and explore 5   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Infogain

ABOUT_COMPANY

Data Science Analyst (Lead)

Data Science Analyst (Lead)

Azure Data Engineer (Senior)

AWS Data Engineer (Senior)

.NET Core Developer (Lead)