Job Description

We are a consulting company with a bunch of technology-interested and happy people!


We love technology, we love design and we love quality. Our diversity makes us unique and creates an inclusive and welcoming workplace where each individual is highly valued.



With us, each individual is her/himself and respects others for who they are and we believe that when a fantastic mix of people gather and share their knowledge, experiences and ideas, we can help our customers on a completely different level.


We are looking for you who want to grow with us!



With us, you have great opportunities to take real steps in your career and the opportunity to take great responsibility.

Role Summary

The

Data Engineer

will play a key role in designing, developing, and maintaining scalable and efficient data products on

Google Cloud Platform (GCP)

. The role requires strong technical expertise in modern data engineering, DevOps principles, cloud infrastructure, and data visualization to support analytical and business intelligence initiatives. The ideal candidate will be a proactive problem solver with a passion for data, technology, and continuous improvement.

Key Responsibilities

Design, develop, and optimize

data pipelines and products

that align with business and technical requirements. Manage and maintain

CI/CD pipelines

,

Terraform scripts

, and

cloud infrastructure

using DevOps best practices. Ensure all data solutions meet standards for

security, scalability, observability, and performance

. Collaborate with the

Product Owner

and cross-functional teams to define and deliver data product roadmaps. Contribute to the organizations

data mesh strategy

by ensuring interoperability across data domains. Develop and maintain

SSIS Cubes

for multidimensional data modeling and

OLAP querying

. Build and maintain

interactive dashboards and reports

using

Power BI

or equivalent tools, integrating data from both

cloud

and

on-premises

sources. Conduct performance tuning, data validation, and root cause analysis to ensure reliable and accurate data delivery. Drive continuous improvement in

data architecture

, reducing technical debt and enhancing automation. Stay updated on emerging

data, analytics, and cloud technologies

to propose innovative solutions.

Required Qualifications

4+ years of experience

in Data Engineering, Software Engineering, or Advanced Analytics. Hands-on experience with

Google Cloud Platform (GCP)

Strong proficiency in

SQL

and one or more programming languages (

Python, Java, or Scala

). Experience with

data formats

(Avro, Parquet) and

data modeling techniques

. Knowledge of

NoSQL

and

RDBMS

database systems. Experience managing

DevOps pipelines

,

infrastructure-as-code (Terraform)

, and cloud deployments. Working experience with

data visualization and BI tools

(Power BI preferred). Excellent problem-solving and communication skills with a collaborative mindset. Fluent in

English

, both written and verbal.

Notice Period:

Immediate to 15 Days Only

Work Location

: Bangalore(Hybrid)

Form of employment:

Full-time until further notice, we apply 6 months probationary employment.


We interview candidates on an ongoing basis, do not wait to submit your application.