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Skills

Data Engineering
Data Integration
Data Modeling
Data Quality
Snow Flake Schema
Amazon Web Services
Amazon S3
Amazon SQS
Cloud Computing
Reporting
Roadmaps
Agile

Summary

Job Title: Sr. Data Engineer

Location: Glendale, CA (Hybrid 4 days onsite)

Duration: Fulltime

Job Details:

As a Data Engineer, you will help build and maintain data solutions that enable analytics, reporting, and business decision-making across the organization. Working alongside data engineers, architects, product managers, and data consumers, you will develop reliable data pipelines, support data modeling efforts, and contribute to a scalable and efficient data platform. This role offers an opportunity to grow your technical expertise while working with modern cloud data technologies in a collaborative environment.

Key Responsibilities:

Develop and maintain data platform pipelines and data integration processes.
Support the implementation of conceptual, logical, and physical data models.
Build and maintain data transformations using dbt and contribute to scalable, reliable data solutions.
Collaborate with data engineers, data scientists, analysts, and cross-functional teams to deliver data products.
Apply data engineering concepts and technologies, including AWS services (S3, Lambda, SNS, SQS), Iceberg, Snowflake, dbt, and Airflow.
Participate in Agile/Scrum ceremonies and contribute to team planning and continuous improvement efforts.
Work with product managers, architects, and engineers to support the Core Data Platform roadmap.
Follow established standards and best practices for data pipelines, naming conventions, and platform development.
Monitor and support the quality, reliability, and operational health of data platform datasets and pipelines.
Contribute to documentation of data assets, processes, and platform standards.
Partner with stakeholders to understand business requirements and support delivery of data solutions.
Maintain documentation to support data quality, governance, and operational requirements.

Qualifications:

2 5 years of experience developing and supporting data pipelines.
Understanding data modeling concepts, including dimensional modeling and data normalization principles.
Proficiency in at least one program

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 90977120
Position Id: 9026537
Posted 2 days ago

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Santosh Bollam

Recruiter @ TechSpace Solutions Inc.

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Sr. Data Engineer

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Santosh Bollam

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