Job Description

About TechMango:

Founded in 2014, TechMango Technology Services is a leading software development company with a strong focus on emerging technologies. Our primary goal is to deliver strategic solutions that align with our business partners' technological needs.

We specialize in providing custom software solutions using the best available technologies, ensuring quality delivery within defined timelines. Our services include analysis, design, architecture, programming, testing, and long-term technical support, all aimed at achieving ultimate customer satisfaction.

Recognized as the Best Offshore Software Development Company in India, TechMango is driven by the mantra, "Clients' Vision is our Mission." We strive to be a technologically advanced and highly regarded organization, offering high-quality and cost-efficient services while fostering long-term client relationships.

We operate in the USA (Chicago, Atlanta), UAE (Dubai), and India (Bangalore, Chennai, Madurai, Trichy, Coimbatore).

For more information, please visit our website.https://www.techmango.net

Job Title: Technical GCP Data Engineer

Location: Madurai / Chennai (WFO / Remote)

Experience: 3+ Years

Notice Period: Immediate

Job Summary

We are seeking a

hands-on Technical GCP Data Engineer

with deep expertise in

real-time streaming data architectures

to help design, build, and optimize data pipelines in our Google Cloud Platform (GCP) environment. The ideal candidate will have strong architectural vision and be comfortable rolling up their sleeves to build

scalable, low-latency streaming data pipelines

using

Pub/Sub, Dataflow (Apache Beam)

, and

BigQuery

.

Key Responsibilities

Architect and implement end-to-end

streaming data solutions

on GCP using

Pub/Sub

,

Dataflow

, and

BigQuery

. Design real-time ingestion, enrichment, and transformation pipelines for high-volume event data. Work closely with stakeholders to understand data requirements and translate them into scalable designs. Optimize streaming pipeline performance, latency, and throughput. Build and manage orchestration workflows using

Cloud Composer (Airflow)

. Drive schema design, partitioning, and clustering strategies in BigQuery for both real-time and batch datasets. Define SLAs, monitoring, logging, and alerting for streaming jobs using

Cloud Monitoring

,

Error Reporting

, and

Stackdriver

. Experience with data modeling. Ensure robust security, encryption, and access controls across all data layers. Collaborate with DevOps for CI/CD automation of data workflows using

Terraform

,

Cloud Build

, and

Git

. Document streaming architecture, data lineage, and deployment runbooks.

Required Skills & Experience

3+ years of experience in data engineering or architecture. 1.5+ years of

hands-on GCP data engineering

experience. Strong expertise in:

Google Pub/Sub

Dataflow (Apache Beam)

BigQuery (including streaming inserts)

Cloud Composer (Airflow)

Cloud Storage (GCS)

Solid understanding of

streaming design patterns

,

exactly-once delivery

, and

event-driven architecture

. Deep knowledge of SQL and NoSQL data modeling. Hands-on experience with

monitoring and performance tuning

of streaming jobs. Experience using

Terraform

or equivalent for infrastructure as code. Familiarity with

CI/CD pipelines

for data workflows.
Job Type: Full-time

Pay: ?2,000,000.00 - ?2,500,000.00 per year

Application Question(s):

Overall work experience: How many years experience do you have in Data Engineer ? How many years experience do you have in GCP (Bigquery) ? How many years experience do you have in Google Pub/Sub, Dataflow (Apache Beam), BigQuery (including streaming inserts), Cloud Composer (Airflow), Cloud Storage ?(GCS) ? Last working date: CTCC: ETCC: Preferred location to work Chennai / Madurai (WFO / Remote) ?
Work Location: In person