Data Engineer

Data Engineer (PL/SQL)

LOCATION-Bangalore and Mumbai

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

Bachelors or Masters degree in Computer Science / Engineering / Information

Technology

46 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