Data Engineer (Onsite) :: Chula Vista, CA (Local Candidate or upto 50 miles Only)

Hi,

Hope you are doing well,

Please find the job description given below and let me know your interest.

Position: Data Engineer (Onsite)

Location: Chula Vista, CA (Upto 50 miles candidate Only)

Duration : 6+ months

Note --- (F2F interview required)

 

Job Description: 

• SQL

• Python

• Data Warehousing

• Dashboard Development

• Data Visualization

 

 

Job Summary

We are seeking a skilled Data Engineer with experience in building scalable data pipelines, analytics solutions, and business intelligence platforms. The ideal candidate should have strong expertise in SQL, Python, data warehousing, dashboard development, and data visualization. The candidate will work closely with business stakeholders, product teams, and data consumers to transform raw data into actionable insights and support data-driven decision-making.

Key Responsibilities :

Design, develop, and maintain scalable data pipelines and ETL/ELT processes.

Build and support analytics solutions that convert large volumes of operational and transactional data into meaningful business insights.

Develop data models and optimize SQL queries for reporting and analytics needs.

Create dashboards and BI reports to monitor business KPIs and operational health metrics.

Collaborate with business users, product teams, and engineering teams to gather requirements and deliver data solutions.

Implement data quality controls, monitoring, and alerting mechanisms to ensure accuracy and reliability.

Support data migration, integration, and modernization initiatives across enterprise platforms.

Participate in Agile ceremonies including sprint planning, backlog grooming, and stakeholder reviews.

Analyze business data and provide recommendations to improve operational efficiency and business performance.

Required Technical Skills :

Data Engineering

Data Pipeline Development

ETL/ELT Processes

Data Integration

Data Modeling

Data Warehousing

Data Migration

Data Quality Management

Analytics Engineering

Programming & Querying

SQL

Presto SQL

SAS SQL

Python

MySQL

Cloud & Data Platforms

Snowflake

Large-scale Analytics Platforms

Data Storage and Processing Solutions

Business Intelligence & Reporting

Tableau

SAP Business Objects

Dashboard Development

KPI Reporting

Data Visualization

Executive Reporting

Tools & Methodologies

Jira

Asana

Agile/Scrum

Requirements Gathering

Stakeholder Management

Preferred Qualifications :

Experience supporting consumer technology, financial services, or enterprise analytics environments.

Experience working with user-level telemetry, operational analytics, and real-time monitoring dashboards.

Experience with AI-driven analytics or automation solutions.

Strong understanding of business intelligence and reporting best practices.

Experience working with cross-functional business and engineering teams.

Education :

Bachelor’s degree in information technology, Computer Science, Information Systems, Engineering, or a related field.

Role Descriptions: AI/ML Engineer

Essential Skills: AI/ML Engineer

Desirable Skills:

Keyword:

Skills: Digital : BI Data Visualization - Tableau~Digital : NOSQL~Agile DevOps for Senior Management~Digital : Python for Data Science~AI and Automation~AI & Gen AI - Products & Tools

Experience Required: 8-10

 

If you are interested, please share your updated resume and suggest the best number & time to connect with you.

 

 

	Ajit Kumar US IT Recruiter, DMS VISION Inc   |