Senior Data Engineer or Database Developer
Listed on 2026-02-16
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IT/Tech
Data Engineer, Database Administrator
Overview
Position: Senior Data Engineer or Database Developer (PySpark Databricks Oracle to Postgre
SQL Migration)
Location: 5800 Windward Parkway, Alpharetta, GA Hybrid Model
Job type: Contract 1 year project
Interview Levels: 3 Rounds
1st Round:
Webex Video (Including Coding)
2nd Round:
Webex Video (Including Coding)
3rd Round:
General Discussion
Experience Level: Min 10 Years
Primary Skill Focus: PySpark, Databricks, Oracle to Postgre
SQL Migration
- Design and develop robust database solutions that meet data storage and retrieval requirements.
- Create scripts and procedures to automate routine database tasks.
Lead the migration process from Oracle to Postgre
SQL, ensuring data integrity and minimal downtime.
Develop comprehensive migration plans and execute them proficiently.
Monitor database performance and implement necessary improvements.
Develop and maintain Databricks jobs for generating business reports and analytics.
Provide insights from data analysis to support decision-making.
- Strong hands-on experience with Oracle and Postgre
SQL databases. - Deep understanding of database architecture, design, indexing, and performance tuning.
- Expert-level SQL skills: queries, stored procedures, functions, triggers, and views.
- Proven experience in end-to-end database migration projects (preferred: Oracle Postgre
SQL). - Strong ability to perform data mapping, transformation, validation, and reconciliation.
- Experience using migration tools, scripts, and automation frameworks.
- Advanced proficiency in Databricks for large-scale data processing.
- Expert in PySpark and Python for data transformation and analytics.
- Ability to build, enhance, and optimize complex ETL/ELT data pipelines.
- Experience creating and maintaining Databricks jobs for scheduled reporting.
- Familiarity with workflow orchestration tools (Airflow, ADF, Step Functions, etc.).
- Strong background in performance tuning for Oracle and Postgre
SQL. - Experience with index strategies, query optimization, execution plan analysis, and caching.
- Good understanding of AWS Cloud, including RDS, S3, EMR, Lambda, Glue, or similar services.
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