Data Engineer

' : - ( - ) 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.