Senior Data Engineer & BI Developer

ACL Digital; San Mateo (CA); Ibrido; USD 120.000 - 200.000; Tempo pieno

Descrizione del lavoro

ACL Digital in the San Mateo area is seeking a Senior Data Engineer & BI Developer with 8+ years of experience to design, build, and operate data products, dashboards, and data pipelines. The role focuses on scalable analytics solutions and production-grade data platforms.

The position is hybrid (3 days/week in Foster City), for a 14-month duration. Key requirements include Databricks, Starburst, PostgreSQL, Oracle, AWS RDS, Python, SQL, Tableau, and QuickSight, along with strong collaboration

Competenze

• 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, and Amazon QuickSight.
• Experience designing and delivering enterprise-scale data products and analytics solutions.
• Knowledge of data modeling, performance tuning, data governance, and best practices.

Mansioni

• 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, optimize ETL processes, data integration workflows, and data transformation pipelines using Python and SQL.
• Design and maintain data models, curated datasets, and semantic layers for business reporting and self-service analytics.
• Develop, enhance, and support dashboards, scorecards, and KPI reporting with Tableau and Amazon QuickSight.
• Collaborate with stakeholders to translate requirements into data products and reporting solutions.
• Monitor and improve data quality, performance, security, governance across platforms.
• Provide production support, root cause analysis, and continuous improvements for data engineering and BI.

Conoscenze

Databricks

Data Lake architectures

Starburst

PostgreSQL

Oracle Database

AWS RDS

Python

SQL

Tableau

Amazon QuickSight

ETL development

Data integration

Formazione

Bachelor's degree in Computer Science/Engineering

Descrizione del lavoro

Location: Hybrid Position - 3 days/week in Foster City. Local Candidates Only.

Duration: 14 Months

Need GC and USC, NO C2C

Description:

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:

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.