GCP Data Engineer

Saama; Chennai District; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Saama is seeking a Senior Data Engineer with a strong GCP background to lead the evolution of our enterprise data ecosystem. With 5–8 years of experience, you will design and deploy sophisticated data architectures that bridge raw data and strategic BI.

You will master distributed computing, Python, and SQL optimization to ensure scalable, cost-efficient data assets across global teams.

Qualifications

• 5-8 years of professional experience.
• Experience designing end-to-end data architectures on GCP.
• Strong Python development and SQL optimization abilities.

Responsibilities

• Architectural Strategy & System Design.
• Enterprise Framework Design: end-to-end data architectures using GCP's Modern Data Stack (BigQuery, Dataflow, Dataform).
• Scalable Data Modeling for multi-petabyte analytics (Star, Snowflake, Data Vault).
• Hybrid & multi-cloud data integration strategies across GCP, on‑prem, and SaaS.

Skills

Python programming

SQL optimization

Distributed computing

Stakeholder alignment

Mentorship

Tools

BigQuery

Dataflow

Dataform

Apache Beam

Cloud Composer

Terraform

VPC Service Controls

IAM Least Privilege

Data masking

Job description

Job Description:

Description

Summary

We are seeking a Senior Data Engineer with a distinguished background in Google Cloud Platform (GCP) to spearhead the evolution of our enterprise data ecosystem. With 5-8 years of professional experience, the successful candidate will operate as a technical authority, designing and deploying sophisticated data architectures that bridge the gap between complex raw data and strategic business intelligence. This role demands a mastery of distributed computing, advanced Python development, and expert-level SQL optimization to ensure the integrity, scalability, and cost-efficiency of our global data assets.

Core Responsibilities

• Architectural Strategy & System Design
• Enterprise Framework Design: Conceptualize and implement end-to-end data architectures utilizing GCP's Modern Data Stack (BigQuery, Dataflow, Dataform).
• Scalable Data Modeling: Lead the development of high-performance data models (Star, Snowflake, Data Vault) optimized for multi-petabyte scale and high-concurrency analytics.
• Hybrid & Multi-Cloud Strategy: Provide technical leadership on data integration strategies spanning GCP, on-premise systems, and third-party SaaS environments.

Advanced Engineering & Pipeline Automation

• Distributed Processing: Engineer highly resilient, low-latency streaming and batch pipelines using Apache Beam (Dataflow) and Cloud Composer (Airflow).
• Software Engineering Excellence: Develop reusable Python libraries and frameworks to standardize data ingestion, logging, and error-handling across the engineering team.
• Infrastructure as Code (IaC): Drive operational maturity by managing cloud resources exclusively through Terraform, ensuring robust versioning and environment parity.

Data Governance, Security & Performance

• System Optimization: Conduct deep-dive performance tuning of BigQuery environments, implementing partitioning, clustering, and slot management to optimize ROI.
• Security & Compliance: Architect data security protocols including VPC Service Controls, IAM Least Privilege, and data masking/encryption to meet global compliance standards (GDPR, SOC2).
• Observability: Establish comprehensive monitoring and alerting frameworks for data health, ensuring high availability and meeting stringent Service Level Objectives (SLOs).

Technical Leadership & Collaboration

• Strategic Mentorship: Serve as a mentor to mid-level and junior engineers, conducting rigorous code reviews and promoting best practices in DataOps.
• Stakeholder Alignment: Act as a primary technical liaison between Data Science, Business Intelligence, and Executive leadership to translate business goals into technical roadmaps.

Requirements

Requirements: