Job Title: Data Engineer (PLSQL, Oracle, ETL & Python)
Location: Chennai / Pune
Experience: 8+ years
Location: Chennai / Pune – Client Office
Job Title: Data Engineer – Oracle PL/SQL & ETL
Experience: 8+ Years
Location: Chennai || Pune
Employment Type: Full-Time
Job Summary
We are seeking an experienced Data Engineer with strong expertise in Oracle PL/SQL Development and ETL processes to design, develop, optimize, and maintain enterprise-scale data solutions.
The ideal candidate will have extensive experience in database development, data modeling, ETL pipeline development, performance tuning, and data integration across multiple source systems.
The candidate should be capable of working with cross-functional teams to deliver scalable, high-performance data solutions that support business intelligence, analytics, and operational applications.
Key Responsibilities
Design, develop, and maintain complex Oracle PL/SQL objects including:
Stored Procedures
Functions
Packages
Triggers
Cursors
Collections
Materialized Views
Develop and support robust ETL pipelines for data extraction, transformation, and loading from multiple source systems.
Perform data modeling activities including:
Logical Data Modeling
Physical Data Modeling
Database Normalization
Dimensional Modeling
Optimize SQL and PL/SQL code for performance, scalability, and maintainability.
Design and implement data validation, reconciliation, and error-handling frameworks.
Analyze business requirements and translate them into technical data solutions.
Troubleshoot production data issues and provide root-cause analysis.
Develop batch processing solutions and automate data workflows.
Work closely with Business Analysts, Architects, Application Teams, and Data Analysts.
Ensure data quality, governance, security, and compliance standards are met.
Participate in code reviews, design discussions, and CI/CD deployment activities.
Required Technical Skills
Oracle Database
Oracle 11g/12c/19c or above
Advanced SQL & PL/SQL Programming
Query Optimization
Performance Tuning
Explain Plans
Indexing Strategies
Partitioning
Materialized Views
Oracle Scheduler
ETL Technologies
Strong understanding of ETL/ELT concepts
Experience in large-scale data migration and transformation
Data Cleansing & Data Quality Validation
Batch Processing & Workflow Automation
Data Engineering
Data Warehousing Concepts
Star Schema & Snowflake Schema
Fact & Dimension Modeling
Data Lake & Data Integration Concepts
Scripting
Unix/Linux Shell Scripting
Python (Preferred)
Preferred Skills
Informatica PowerCenter / Informatica Cloud
Apache Airflow
PySpark
Hadoop Ecosystem
AWS Data Services (S3, Glue, Redshift)
Azure Data Factory
Snowflake
CI/CD & DevOps Practices
Git Version Control
Required Experience
8+ years of experience in Data Engineering and Database Development.
Strong hands-on experience in Oracle PL/SQL development.
Proven experience in ETL design and implementation.
Experience working with large-scale enterprise data platforms.
Experience in performance tuning and optimization of database objects.
Experience supporting production environments and handling critical incidents.
Soft Skills
Strong analytical and problem-solving abilities.
Excellent communication and stakeholder management skills.
Ability to work independently and in Agile environments.
Strong documentation and technical design skills.
Ability to mentor junior developers and lead technical discussions.
Nice to Have
Banking / Financial Services domain experience
Healthcare domain experience
Cloud Migration projects
Oracle to Cloud Data Migration initiatives
Certification in Oracle, Cloud, or Data Engineering technologies
Application Details
Interested Candidates Can Share Their Updated Resume At
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