Data Engineer
Digipulse Technologies Inc.
4 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
EnglishJob location
Tech stack
Java
API
Agile Methodologies
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Unix
Cloud Database
Computer Programming
Continuous Integration
ETL
Relational Databases
Database Storage Structures
Software Debugging
Amazon DynamoDB
Elasticsearch
Python
PostgreSQL
Maven
NoSQL
Oracle Applications
Amazon Web Services (AWS)
PL-SQL
SQL Databases
Amazon Web Services (AWS)
Kafka
Data Management
Video Streaming
Functional Programming
Amazon Web Services (AWS)
Data Pipelines
Docker
Jenkins
Job description
- Design, develop, and maintain scalable data pipelines (ETL/ELT)
- Work with relational databases (Oracle, PostgreSQL) and NoSQL systems
- Develop and debug SQL and PL/SQL code
- Build and optimize data models and database structures
- Work with AWS services like S3, EC2, Lambda, SNS, and SQS
- Collaborate with cross-functional teams in an Agile environment
- Support CI/CD pipelines using tools like Jenkins and Maven
- Monitor, troubleshoot, and resolve data-related issues across environments
- Ensure data quality, consistency, and performance
Requirements
We are looking for a skilled Data Engineer to support data pipeline development, database management, and cloud-based data solutions. The ideal candidate will have strong experience with relational databases, ETL processes, and AWS services, along with the ability to work in a fast-paced Agile environment., * Strong experience with Oracle (RDBMS) and PL/SQL
- Hands-on experience with ETL tools (AWS Glue, Python-based pipelines)
- Strong programming skills in Python (preferred), Java, or Unix scripting
- Experience with AWS services (S3, EC2, Lambda, etc.)
- Experience with CI/CD tools (Jenkins, Maven, Docker)
- Solid understanding of data modeling concepts
- Strong debugging and problem-solving skills
Preferred Skills
- Experience with Kafka / streaming technologies (Kinesis, SNS, SQS)
- API integration experience (Java-based APIs preferred)
- AWS Certifications (Associate / Professional)
- Experience with NoSQL databases (DynamoDB, Elasticsearch)