Job description

Duration: 14 months with possible extension Job Overview: • We are seeking an experienced Senior Data Engineer & BI Developer with 8+ years of industry experience to design, develop, support, and maintain data products, analytical dashboard solutions. • The ideal candidate will have strong expertise in data engineering, cloud data platforms, business intelligence, database technologies, and dashboard development, with a focus on delivering scalable, business-ready data products and insights. Required Years of Experience: • Min. 8+ Required Degree or Certification: • Bachelor's degree in computer science, engineering, or a related field. • Top 3 Required Skill Sets: Databricks and Data Lake architectures, Starburst, PostgreSQL, Oracle Database, AWS RDS, Python, SQL, Tableau, Amazon QuickSight • Top 3 Nice to Have Skill Sets: Power BI, AI Agents development, Power Automate • Unique Selling Point of this role: Hands on exp on Databricks, Amazon Quick Suite Responsibilities: • Design, develop, and maintain enterprise data products, data pipelines, data lakes, and analytical solutions. • Build and support scalable data platforms using Databricks, Starburst, PostgreSQL, Oracle, and AWS RDS. • Develop and optimize ETL processes, data integration workflows, and data transformation pipelines using Python and SQL. • Design and maintain data models, curated datasets, and semantic layers that support business reporting and self-service analytics. • Develop, enhance, and support dashboards, scorecards, and KPI reporting solutions using Amazon QuickSight and Tableau. • Collaborate with business stakeholders, analysts, and application teams to translate business requirements into data products and reporting solutions. • Monitor and improve data quality, performance, reliability, security, and governance across enterprise data platforms. • Provide production support, troubleshooting, root cause analysis, maintenance, and continuous improvements for data engineering and BI solutions. • Create and maintain technical documentation, data lineage, operational procedures, and best practices. • Participate in architecture reviews, data governance initiatives, and platform modernization efforts. Qualifications: • Bachelor's degree in Computer Science, Information Technology, Engineering, or related field. • 8+ years of experience in Data Engineering, Data Warehousing, Analytics, and BI Development. • Strong expertise in: Databricks and Data Lake architectures, Starburst, PostgreSQL, Oracle Database, AWS RDS, Python, SQL, Tableau, Amazon QuickSight, ETL development and data integration • Experience designing and delivering enterprise-scale data products and analytics solutions. • Strong knowledge of data modeling, performance tuning, data governance, and best practices. • Experience supporting production environments and mission-critical reporting platforms. • Excellent analytical, troubleshooting, communication, and stakeholder management skills. • Strong communication and teamwork abilities. • Ability to work independently and handle multiple projects simultaneously. • Knowledge on AI and machine learning concepts is a plus. About US Tech Solutions: US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com. US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. By applying, you acknowledge that AI-assisted tools may be used during hiring. #LI-AS140

Requirements

Must-haves

Duration: 14 months with possible extension
We are seeking an experienced Senior Data Engineer & BI Developer with 8+ years of industry experience to design, develop, support, and maintain data products, analytical dashboard solutions.
Bachelor's degree in computer science, engineering, or a related field.
Top 3 Required Skill Sets: Databricks and Data Lake architectures, Starburst, PostgreSQL, Oracle Database, AWS RDS, Python, SQL, Tableau, Amazon QuickSight
Unique Selling Point of this role: Hands on exp on Databricks, Amazon Quick Suite
Design, develop, and maintain enterprise data products, data pipelines, data lakes, and analytical solutions.
Build and support scalable data platforms using Databricks, Starburst, PostgreSQL, Oracle, and AWS RDS.
Develop and optimize ETL processes, data integration workflows, and data transformation pipelines using Python and SQL.
Design and maintain data models, curated datasets, and semantic layers that support business reporting and self-service analytics.
Develop, enhance, and support dashboards, scorecards, and KPI reporting solutions using Amazon QuickSight and Tableau.
Collaborate with business stakeholders, analysts, and application teams to translate business requirements into data products and reporting solutions.
Monitor and improve data quality, performance, reliability, security, and governance across enterprise data platforms.
Provide production support, troubleshooting, root cause analysis, maintenance, and continuous improvements for data engineering and BI solutions.
Create and maintain technical documentation, data lineage, operational procedures, and best practices.
Participate in architecture reviews, data governance initiatives, and platform modernization efforts.
Bachelor's degree in Computer Science, Information Technology, Engineering, or related field.
8+ years of experience in Data Engineering, Data Warehousing, Analytics, and BI Development.
Strong expertise in: Databricks and Data Lake architectures, Starburst, PostgreSQL, Oracle Database, AWS RDS, Python, SQL, Tableau, Amazon QuickSight, ETL development and data integration
Experience designing and delivering enterprise-scale data products and analytics solutions.
Strong knowledge of data modeling, performance tuning, data governance, and best practices.
Experience supporting production environments and mission-critical reporting platforms.
Excellent analytical, troubleshooting, communication, and stakeholder management skills.

Nice-to-haves

Top 3 Nice to Have Skill Sets: Power BI, AI Agents development, Power Automate
Knowledge on AI and machine learning concepts is a plus.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

awspythonsqlaimachine learning

Platform: jobdiva
Effort: medium