Job Summary
- We are seeking a skilled Senior Analyst - Data Engineer with strong hands-on experience in designing, building, and maintaining scalable data pipelines and cloud-based data solutions. The ideal candidate will have expertise in Python, SQL, and Google Cloud Platform (GCP) services, with the ability to develop reliable, high-performance, and fault-tolerant data processing solutions.
- The role requires hands-on experience with BigQuery, Dataflow, Google Cloud Storage (GCS), Dataproc, Cloud SQL, Cloud Functions, Pub/Sub, and Cloud Composer, along with a strong understanding of ETL/ELT, distributed data processing, and modern data engineering practices.
Key Responsibilities
- Design, develop, and maintain scalable end-to-end data pipelines to extract, transform, and load data from diverse sources.
- Build reliable, scalable, and performance-oriented ETL/ELT pipelines using GCP data services and modern data engineering technologies.
- Develop and optimize complex SQL queries for data extraction, transformation, analysis, and reporting.
- Build and manage large-scale data processing solutions using BigQuery, Dataflow, Dataproc, and Google Cloud Storage (GCS).
- Develop distributed and fault-tolerant data pipelines capable of handling large volumes of structured and unstructured data.
- Work with a broad range of relational and non-relational databases to support diverse data processing requirements.
- Utilize Cloud SQL, Cloud Functions, Pub/Sub, and Cloud Composer for data storage, event-driven processing, automation, and workflow orchestration.
- Develop and maintain batch and real-time data processing solutions using technologies such as Apache Spark, Hadoop, and Kafka.
- Collaborate with data analysts, data scientists, and other cross-functional teams to understand data requirements and deliver scalable solutions.
- Support the integration of new cloud technologies and tools into the existing data ecosystem.
- Monitor and optimize data pipelines for performance, scalability, reliability, and fault tolerance.
- Document data pipelines, technical processes, architecture, and best practices to support knowledge sharing and operational efficiency.
- Troubleshoot and resolve data pipeline, infrastructure, and performance-related issues.
- Continuously explore and adopt new tools, technologies, and best practices in cloud and data engineering.
Required Skills:
- 4 to 6 years of professional experience in Data Engineering, Data Platform Engineering, or related roles.
- Strong hands-on experience with Python and SQL for data processing and transformation.
- 3+ years of hands-on experience with Google Cloud Platform (GCP) data services.
- Strong experience with BigQuery, Dataflow, Google Cloud Storage (GCS), and Dataproc.
- Experience designing and building scalable ETL/ELT and end-to-end data pipelines from scratch.
- Strong understanding of distributed and fault-tolerant data processing architectures.
- Hands-on experience with Cloud SQL, Cloud Functions, Pub/Sub, and Cloud Composer.
- Experience working with both relational and non-relational databases.
- Familiarity with cloud-based and traditional Data Warehouse architectures.
- Knowledge of big data technologies such as Apache Spark, Hadoop, and Kafka.
- Understanding of batch and real-time/streaming data processing.
- Familiarity with data engineering applications involving big data and machine learning platforms is an added advantage.
- Ability to work effectively in a dynamic environment where requirements and problems may not always be well-defined.
- Inquisitive mindset with a proactive approach to learning new tools, technologies, and data engineering practices.
Why Join Us?
- Opportunity to work on modern, large-scale data engineering and cloud transformation initiatives.
- Hands-on exposure to a wide range of GCP data services, including BigQuery, Dataflow, Dataproc, GCS, Pub/Sub, and Cloud Composer.
- Opportunity to design and build scalable, distributed, and fault-tolerant data pipelines from the ground up.
- Exposure to modern data warehousing, big data, streaming, and cloud-native architectures.
- Collaborative environment with opportunities to work closely with data engineers, analysts, data scientists, architects, and business teams.
- Opportunity to continuously learn and work with emerging technologies in cloud, data engineering, big data, and analytics.
- Culture that encourages innovation, continuous learning, technical excellence, collaboration, and ownership.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.
Job Snapshot Updated Date 22-08-2026 Job ID J_5565
Location
Chennai, Tamil Nadu, India
Experience
2 - 4 Years Employee Type Permanent