Re: Need: Databricks data engineer - Remote - 12 Months
pshanthi .
Relevant Experience: 12 Years
Job Description
We are seeking a highly
experienced Data Modeler to design and implement enterprise-grade data
solutions. This role requires deep expertise in data modeling principles, data
architecture frameworks, and modern cloud-based platforms. The candidate will
play a critical role in shaping our data ecosystem, ensuring scalability,
performance, and alignment with business needs.
Key Responsibilities-
Data Modeling:
Design conceptual, logical, and physical data models for structured and
semi-structured data.
Define entity relationships, normalization/denormalization strategies, and
dimensional modeling for analytics.
Develop star and snowflake schemas for data warehouses and analytical
workloads.
Ensure data integrity, consistency, and compliance with governance standards.
Data Architecture:
Architect end-to-end data solutions leveraging modern frameworks and best
practices.
Implement Medallion architecture (Bronze, Silver, Gold layers) for scalable
data pipelines.
Optimize data storage and retrieval strategies for performance and cost
efficiency.
Collaborate with engineering teams to design data ingestion, transformation,
and integration workflows.
Technology Stack:
Hands-on experience with Google BigQuery for large-scale analytics.
Expertise in Databricks for data engineering and advanced analytics.
Familiarity with cloud-native architectures, distributed systems, and data
lakehouse concepts.
Required Qualifications:
10+ years of experience in data
modeling and data architecture.
Proven track record in designing enterprise data warehouses and analytical
platforms.
Strong understanding of Medallion architecture and modern data lakehouse
design.
Proficiency in SQL, data modeling tools (e.g., ERwin, PowerDesigner), and
ETL/ELT frameworks.
Hands-on experience with Google BigQuery and Databricks.
Skills: Preferred Skills
Knowledge of data governance, metadata management, and master data management.
Experience with performance tuning and query optimization in large-scale
environments.
Familiarity with data security and compliance standards
If you are comfortable for this position, please share me below details with DL and Visa copy.
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Skill Matrix:
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Employer Details:
Shanthi Pedhiredla
SOVEREIGN TECHNOLOGIES LLC