𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀

𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟲𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟭𝟮𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟲-𝟭𝟮 𝗟𝗣𝗔)

Experience: 5+ yrs

Location: Chennai, Tamil Nadu, India

Job Type: Full-time

We are seeking a highly skilled Data Engineer to design, develop, and optimize cloud-native data platforms that enable scalable analytics, business intelligence, and data-driven decision-making. This role is ideal for professionals with strong expertise in modern data engineering, Google Cloud Platform (GCP), and data transformation frameworks who are passionate about building reliable, high-performance data solutions.

As a Data Engineer, you will work closely with data architects, analytics teams, software engineers, and business stakeholders to develop robust data pipelines, manage cloud-based data infrastructure, and ensure high standards of data quality, governance, and performance. You will play a key role in building scalable batch and streaming data solutions while supporting advanced analytics, AI, and customer-facing data applications.

Requirements

Key Responsibilities

• Design, develop, and maintain cloud-native data pipelines for ingesting, transforming, and delivering structured and unstructured data.
• Build scalable data solutions using Google Cloud Platform (GCP) services, including BigQuery and related cloud technologies.
• Develop and maintain data transformation frameworks using dbt to support analytics and reporting requirements.
• Create efficient ETL/ELT workflows using SQL, Python, and cloud-native data engineering best practices.
• Orchestrate and automate data workflows using Apache Airflow or Cloud Composer.
• Design and optimize relational database solutions, including PostgreSQL and other enterprise database platforms.
• Implement Infrastructure as Code (IaC) using Terraform to provision and manage cloud infrastructure.
• Build and maintain CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or similar DevOps tools.
• Optimize data processing pipelines for scalability, reliability, performance, and cloud cost efficiency.
• Collaborate with cross-functional teams to support analytics, machine learning, AI, and customer-facing data initiatives.
• Implement data quality, governance, metadata, and lineage practices to improve trust and consistency across enterprise data assets.
• Monitor production environments, troubleshoot pipeline failures, and continuously improve platform performance and operational stability.

What Makes You a Great Fit

• 5+ years of professional experience in Data Engineering and cloud-native data platform development.
• Strong hands-on expertise with Google Cloud Platform (GCP), including BigQuery and modern cloud data services.
• Proven experience building scalable data transformation frameworks using dbt.
• Advanced proficiency in SQL and Python for data engineering, automation, and pipeline development.
• Experience working with relational databases such as PostgreSQL and enterprise data management solutions.
• Hands-on experience orchestrating workflows using Apache Airflow or Cloud Composer.
• Strong understanding of Infrastructure as Code using Terraform and modern DevOps practices.
• Experience developing CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or similar automation tools.
• Knowledge of streaming and batch processing architectures, cloud infrastructure, and distributed data systems.
• Familiarity with services such as Pub/Sub, Dataflow, Datastream, Cloud Storage, Cloud Functions, Cloud Run, Kubernetes, Docker, or similar cloud technologies is an advantage.
• Strong analytical, troubleshooting, and communication skills with the ability to build scalable, secure, and cost-efficient enterprise data solutions.