Data Engineer

Job Title: Data Engineer
Location: Los Angels,CA (Only Onsite location): Customer is looking for Candidate who is willing to attend in Person interview.
Work mode: Only Onsite
Duration: 6 months

Experience Required: 8-10

Job Description (JD) - Data Engineer

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