IT - Technology Lead | Development process generic | Big Data Analytics Process

"Project Niche Skills"

"VD Allowed"

POC:Sohail

Max Hourly #### to the candidate?: ####/Hr



Do you have a preferred interview schedule?:

afternoon hours ( 12 PM to 3:00 PM CST)





Would you require the candidates to meet you for an in-person interview?: No



Is Skype/WebEx interview OK?: Yes, MSTeams



Work Location with ZIP: Richardson, TX 75082



Is remote work an option?: Yes, hybrid



If remote work, please indicate how many days are required to be in the office and remote:

Must follow RTO guidelines for Infosys (minimum of 12 days per month)



Chance to be perm?:

Yes, based on performance





Performance Expectations:



Technical Hiring Criteria (Must Haves)



Top 3 Required skills: LookML, Looker Studio, BigQuery, Data analytics & Visualization



Years of experience in each of the must-have skills:

8 + years in business analysis, requirements gathering, data analysis, Data governance, Data Quality, Data lineage, regulatory reporting, client BI reporting, ETL, Data Warehousing, Business Intelligence, Cloud Platforms.



Any Certifications required: Not Mandatory



Any additional information you would like to share about the project specs/nature of work:

Data Engineering & Reporting Developer (GCP)

Design, develop, and maintain scalable data pipelines on Google Cloud Platform (GCP) to support analytics, reporting, and business operations.

Build and manage data ingestion frameworks for integrating structured and unstructured data from multiple enterprise sources.

Implement data quality controls, validation rules, and monitoring processes to ensure data accuracy, completeness, and reliability.

Develop and optimize data transformation workflows using BigQuery and modern cloud data engineering practices.

Drive BigQuery cost and performance optimization through query tuning, partitioning, clustering, and workload management.

Design, develop, and optimize Looker (mandatory skill) dashboards and reports, transforming complex data into actionable insights, KPI visibility, and executive-ready analytics for business stakeholders

Create effective data visualizations and analytics solutions that enable operational and executive decision-making.

Monitor and optimize dashboard performance, ensuring scalability, responsiveness, and a seamless user experience.

Demonstrate strong client communication skills, providing proactive status updates, risk identification, and timely escalation management without requiring follow-ups.

Provide bi-weekly production release support, including deployment coordination, release validation, and stakeholder communication.

Perform post-deployment metrics monitoring, participate in incident triage, root cause analysis, and issue resolution while driving continuous improvement and operational excellence.

Project Code: SOW 103