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.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

ETLDatabricksSnowflakeOraclePL/SQLperformance tuningdata modelingApache SparkSQLPython

Soft Skills

problem-solvingcommunicationcollaborationmentoringbest practices

Certifications

Bachelor’s degreeMaster’s degree