Job Description

As a Data Engineer, you will be responsible for designing, architecting, and delivering end-to-end solutions that replace manual/semi-automated processes with a cloud-enabled, automated, and analytics-driven platform. You will collaborate with business stakeholders, product owners, and engineering teams to define requirements, design and develop the API gateways and analytics and AI/ML. The ideal candidate has deep Data engineering skills, strong cloud and data expertise, and proven experience in building enterprise-grade data analytics products. In addition to hands-on development, you will provide technical leadership, ensure adherence to software engineering best practices, and support product lifecycle management.

Required Skills & Experience:

Expertise in

cloud data architecture

(GCP or Azure). Strong experience in

ETL design, data integration, and database management

(Alteryx, SQL and NoSQL). Hands-on experience in API development such as REST, GrapQL and Data streaming platform such as Kafka Hands on experience with

data analytics and visualization tools

(Qlik Sense, Power BI, or Tableau). Familiarity with

AI/ML technologies

and creating API endpoints Familiarity with

DevOps practices, CI/CD pipelines, and monitoring tools

. Strong expertise in Python, Data Maturity model and familiarity with data analytics methods such as regression model Proficiency in full stack development: +

Front-end:

React, Angular, or similar frameworks.
+

Back-end:

Python, Node.js or Java
+

Databases:

PostgreSQL, BigQuery, NoSQL
Strong leadership in

Agile/Scrum environments

with JIRA or similar project management tools. Excellent problem-solving, architectural thinking, and communication skills.

Qualifications:

Bachelor's or master's degree or related field. 4 to 5 years of data engineering / software development experience Certifications in

cloud platforms

(AWS/Azure/GCP) is a plus.

Key Responsibilities:

Solution Architecture & Design

+ Define and implement

cloud-native architectures

for scalable and secure data platforms.
+ Design robust

ETL pipelines

and

data integration frameworks

.
+ Create and maintain

application and data models

, ensuring alignment with business requirements.

API Development

+ Develop

end-to-end solution

, from front-end interfaces to back-end services and APIs.
+ Oversee code quality, architecture reviews, and best practices in software design.
+ Drive automation in build, deployment, and release management.

Data Analytics & Reporting

+ Build and optimize

analytics and reporting dashboards

for actionable insights.
+ Implement solutions for

data visualization, anomaly detection, and trend analysis

.

Agile Methodology

+ Collaborate with

Product Management

to define the roadmap, technical priorities, and release strategy.
+ Actively participate in creating development workflows and sprint planning through

JIRA