Data Engineer with Databricks AI/BI, Database, Power BI & AWS
Advent Global Solutions
Cincinnati, OH, United States
6 days ago
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Apply on www.dice.com
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Contract type
Contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Working hours
Regular working hours
Job source
Tech stack
Query Performance
Artificial Intelligence
Amazon Web Services
Backup Devices
Big Data
Cloud Database
Databases
Data Architecture
Data Governance
Data Integration
Extract Transform Load (ETL)
Data Transformation
+20 more
Data Systems
Data Warehousing
Relational Databases
Database Development
Python (Programming Language)
Performance Tuning
Query Optimization
Power BI
Cloud Services
SQL Databases
Data Processing
Data Ingestion
Database Optimization
Backend
Data Lakes
Pyspark
Data Management
Tools for Reporting
Data Pipelines
Databricks
Job description
Hiring: Data Engineer with Databricks AI/BI, Database, Power BI & AWS, We are looking for an experienced Data Engineer with strong hands-on expertise in Databricks Engineering, AI/BI dashboard development, database technologies, and AWS cloud services. The ideal candidate will be responsible for building scalable data pipelines, developing backend database solutions, optimizing data processing, and creating interactive dashboards using Databricks AI/BI capabilities and Power BI., * Design, develop, and maintain scalable data engineering solutions using Databricks.
- Build, optimize, and maintain ETL/ELT pipelines for data ingestion, transformation, and processing.
- Develop interactive dashboards using Databricks AI/BI Dashboards and Power BI.
- Design, develop, and optimize databases, data models, SQL queries, and backend data solutions.
- Integrate Databricks with AWS services to build secure, reliable, and scalable data platforms.
- Work with large datasets to improve data quality, query performance, and processing efficiency.
- Develop data transformation workflows using SQL, Python, and PySpark.
- Collaborate with business and technical teams to deliver analytics and reporting solutions.
Requirements
- Strong experience in Databricks Engineering and Development.
- Hands-on experience with Databricks AI/BI Dashboards.
- Strong database development skills, including SQL, data modeling, query optimization, and database performance tuning.
- Experience with AWS cloud services and cloud-based data engineering.
- Experience developing dashboards and reports using Power BI.
- Strong understanding of ETL/ELT pipelines, data integration, and data warehousing.
- Experience with Python and/or PySpark.
Preferred Qualifications
- Knowledge of Delta Lake and Lakehouse architecture.
- Experience integrating relational databases and cloud data sources.
- Understanding of data governance, data quality, and performance optimization.
- Ability to work independently and collaborate effectively in a remote environment.
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Apply on www.dice.com
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Good distractions
Loading talks and stories from around this roleβ¦