Job Description

This role is for one of our clients

Company Name: Muoro.io
Industry: Technology, Information and Media
Seniority level: Mid-Senior level

Min Experience: 5 years
Location: NCR
JobType: full-time



We are seeking an experienced

Data Engineer

with deep expertise in the

AWS data ecosystem

to design, build, and optimize scalable data pipelines and platforms. The ideal candidate will have strong analytical skills, hands-on experience in modern data architectures, and a passion for delivering high-quality, reliable data solutions.

Key Responsibilities

Design, develop, and maintain robust

data pipelines

and

ETL workflows

using AWS tools such as

Glue

,

Kinesis

,

Redshift

,

S3

, and

Data Lake

architectures.
Work extensively with

SQL

and

Databricks

to process, transform, and analyze large datasets.
Implement

data orchestration and workflow automation

using tools like

Airflow

or

Step Functions

.
Ensure

data quality, integrity, and consistency

across systems through rigorous validation and monitoring practices.
Collaborate with cross-functional teams, including data analysts and software engineers, to support data-driven decision-making.
Optimize data storage, retrieval, and processing for scalability and performance in a cloud-native environment.

Requirements

5+ years of hands-on experience in

data engineering

.
Proven expertise in the

AWS ecosystem

(Glue, Kinesis, Redshift, S3).
Proficiency in

SQL

,

Databricks

, and

data pipeline orchestration

tools.
Strong understanding of

data analysis

,

data quality management

, and

data modeling

principles.
Experience working with

data lakes

and

modern data architectures

.
Excellent problem-solving, communication, and collaboration skills.

Core Skills

SQL

AWS (Glue, Kinesis, Redshift, S3)

Databricks

Data Pipeline Development

Airflow / Step Functions

Data Quality Management

Data Lake Architecture