Data Engineer (Oracle, PL-SQL)

Data Engineer (PL/SQL)

LOCATION-Bangalore

EXPERIENCE- 5-6 years

Role Overview

We are seeking a Data Engineer with strong PL/SQL expertise to design, develop, and

optimize data pipelines, database systems, and data integration workflows.

The ideal candidate should have experience in database programming, data

transformation, ETL processes, and large-scale data processing while ensuring data quality,

performance, and scalability.

Key Responsibilities

Data Engineering & Pipeline Development

• Design and develop data pipelines and ETL workflows to ingest, process, and

transform data.

• Build scalable data processing solutions to support analytics and reporting

systems.

PL/SQL Development

• Develop and optimize PL/SQL procedures, functions, packages, and triggers.

• Write efficient SQL queries for data extraction, transformation, and loading (ETL).

• Optimize database performance through query tuning and indexing strategies.

Data Integration

• Integrate data from multiple sources including:

• Enterprise applications

• APIs

• Databases

• Data lakes and warehouses

Data Quality & Governance

• Implement data validation, monitoring, and quality checks.

• Ensure data consistency, integrity, and security.

Cloud & Data Platforms

• Work with cloud-based data platforms such as AWS, Azure, or Google Cloud.

• Support modern data lake and data warehouse architectures.

Collaboration

• Work closely with Data Analysts, Data Scientists, and Platform Engineers.

• Participate in data architecture design and solution development.

REQUIREMENTS

Required Skills

Database Technologies

• Strong expertise in Oracle SQL and PL/SQL

• Database design and optimization

Data Engineering

• ETL / ELT pipeline development

• Data transformation and integration

Programming

• SQL

• PL/SQL

• Python (preferred)

Data Platforms

• Oracle Database

• Snowflake / Redshift / BigQuery (preferred)

Data Integration Tools

• Informatica / Talend / Apache Airflow (preferred)

Preferred Skills

• Experience with cloud-based data platforms (AWS / Azure / GCP)

• Knowledge of big data technologies such as Spark or Hadoop

• Experience with data warehousing and dimensional modeling

• Understanding of real-time data processing systems

Qualifications

• Bachelor's or Master's degree in Computer Science / Engineering / Information

Technology

• 4–6 years of experience in Data Engineering or Database Development

Success Metrics

• Data pipeline reliability and performance

• Query optimization and database efficiency

• Data accuracy and integrity

• Timely delivery of data integration solutions