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Data Architecture Specialist
2 weeks ago
Job Overview
Data Architecture Specialist: We are seeking an experienced professional to design, build, and maintain robust data pipelines for collecting, processing, and storing large volumes of data.
About the Role
- Develop efficient processes to integrate data from diverse sources into a centralized repository;
- Collaborate with product management and software engineers to integrate data solutions into applications and services;
- Evaluate and implement new tools and technologies to improve data infrastructure and workflows.
Key Responsibilities
Data Pipeline Development: Design and build robust data pipelines using dbt framework.
ETL/ELT Processes: Develop efficient ETL/ELT processes to integrate data from diverse sources.
Cloud Infrastructure Operations: Operate and optimize cloud infrastructure, including AWS, Databricks, and Snowflake.
Data Modeling: Develop and maintain optimized data models and schemas for performance, scalability, and reliability.
Data Quality Assurance: Implement robust data quality checks, monitoring, and alerting systems.
Requirements
- 7+ years of related experience with a bachelor's degree;
- Proficiency in SQL and ETL pipelines;
- Hands-on experience with dbt, Databricks, and handling large datasets with DataFrames;
- Mastery with a core programming language and experience with another. Preferred languages are Java, Kotlin, Python;
- Experience with Agile methodologies and Software Development Life Cycle (SDLC).
Desirable Skills: Cloud Infrastructure, Snowflake, DBT, Databricks, Kimball Methodology, SQL, ETL, Agile Methodologies, SDLC.
About Us
We value collaboration, innovation, and continuous learning.
