GCP Data Architect

Codvo.ai; Pune District; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

Codvo.ai in Pune, India, is seeking a Data Engineer with 6+ years of experience to design and implement scalable data pipelines on Google Cloud Platform. You will ingest real-time data from IoT devices and connected vehicles, build robust ETL/ELT workflows with Python and SQL, and ensure data quality, governance, and lineage across the data lake.

You will collaborate with analytics and ML teams to prototype features and operationalize ML pipelines, while advancing CI/CD, Airflow orchestration,

Qualifications

• 6+ years of data engineering experience.
• Experience designing scalable data pipelines on GCP.

Responsibilities

• Design, implement, and maintain scalable data pipelines on Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Cloud Storage).
• Ingest and process real-time data from connected vehicles and IoT devices.
• Develop and maintain ETL/ELT workflows using Python, SQL, and Apache Beam/Spark.
• Ensure data quality, lineage, and governance in the data lake.
• Bridge between data engineering and analytics teams, performing data wrangling, feature engineering, and ML model prototyping.
• Support pipeline automation and ML model deployment on GCP.
• Collaborate with AI/ML leads to operationalize machine learning pipelines and integrate data solutions with applications.

Skills

Python

SQL

GCP

Airflow

CI/CD

ML frameworks

API integration

Data ingestion

Data quality

Data governance

Data lineage

Tools

BigQuery

Dataflow

Vertex AI

Pub/Sub

Cloud Storage

Apache Beam

Spark

Job description

Job Title: Data Engineer

Experience: 6+ years

About Us

At Codvo, we are committed to building scalable, future-ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive. Join us to be part of a team that solves complex data challenges with creativity and cutting-edge technology.

Key Responsibilities:

• Design, implement, and maintain scalable data pipelines on Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Cloud Storage).
• Ingest and process real-time data from connected vehicles and IoT devices.
• Develop and maintain ETL/ELT workflows using Python, SQL, and Apache Beam/Spark.
• Ensure data quality, lineage, and governance in the data lake.
• Act as a bridge between data engineering and analytics teams, performing data wrangling, feature engineering, and ML model prototyping.
• Support pipeline automation and ML model deployment on GCP.
• Collaborate with AI/ML leads to operationalize machine learning pipelines and integrate data solutions with applications.

Skills & Expertise Required:

• Strong experience with Python, SQL, and GCP services (BigQuery, Dataflow, Vertex AI, Pub/Sub, Cloud Storage).
• Experience with Airflow, CI/CD, and data pipeline orchestration.
• Familiarity with ML frameworks (scikit-learn, TensorFlow) and feature engineering.
• Expertise in API integration, data ingestion, and automation of ML pipelines.
• Strong understanding of data quality, governance, and lineage best practices.