Key skills
ApacheAzureCloudETLOraclePySparkPythonSparkSQLData EngineeringAnalyticsSnowflakeDatabricksApache SparkVersion ControlCI/CDCommunication
About this role
Role Overview
- Develop and optimize ETL pipelines using Databricks and Snowflake
- Design, implement, and support database objects in Oracle
- Collaborate with business stakeholders to support advanced analytics and reporting initiatives
- Ensure data quality, consistency, and security across platforms
- Troubleshoot and resolve technical issues related to data ingestion, transformation, and storage
- Participate in code reviews, mentor junior engineers, and promote best practices in data engineering
- Support migration and modernization projects involving cloud technologies and big data platforms
- Document technical processes and maintain up-to-date project documentation
Requirements
- Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field
- Minimum 5 years of experience in software engineering or data engineering roles
- Proven expertise in Oracle database development (PL/SQL, performance tuning, data modeling)
- Hands-on experience with Databricks, Apache Spark, and cloud platforms (e.g., Azure)
- Strong proficiency in ETL processes, SQL, and scripting languages (Python, PySpark)
- Familiarity with CI/CD pipelines and version control systems
- Excellent problem-solving and communication skills.
Tech Stack
- Apache
- Azure
- Cloud
- ETL
- Oracle
- PySpark
- Python
- Spark
- SQL
Benefits
- Health benefits effective day 1
- Paid time off, holidays, volunteer time and jury duty pay
- Recognition pay
- 401(k) retirement savings plan with employer match
- Tuition assistance
- Scholarships for eligible dependents
- Parental and caregiver leave
- Employee charity matching program
- Network Resource Groups (NRGs)
- Career development opportunities