
Senior Data Engineer
3 days ago
This role is for one of the Weekday's clients
Salary range: Rs Rs ie INR 23-25 LPA)
Min Experience: 5 years
Location: Chennai, Trichy
JobType: full-time
We are seeking a Senior Data Engineer with a strong foundation in software development, distributed systems, and large-scale data processing. The ideal candidate is passionate about clean, efficient code and thrives in building reliable, scalable data pipelines that empower data-driven decision-making.
Requirements
Key Responsibilities- Design, develop, and maintain scalable data pipelines and distributed systems using tools like Airflow, Spark, Kafka, Kinesis, and BigQuery.
- Apply advanced programming expertise (in Python or similar languages) to build efficient, maintainable, and high-performance data workflows.
- Develop and optimize complex SQL and DBT queries for large-scale data processing and analytics.
- Work with semantic layers and data modeling tools such as LookerML and Kube to enable self-service analytics.
- Leverage cloud platforms (preferably Google Cloud Platform or Snowflake) for scalable and cost-efficient data solutions.
- Utilize container technologies such as Docker and Kubernetes for data infrastructure deployment and orchestration.
- Collaborate with cross-functional teams to ensure data reliability, quality, and performance.
- Drive automation of data-driven processes, workflows, and decision-making systems.
- Follow agile development practices and contribute to continuous improvement in data engineering standards.
- Stay updated with emerging technologies, including AI-assisted tools such as Cursor AI and GitHub Copilot, to enhance productivity and innovation.
- 5+ years of programming experience in Python or related languages.
- 2+ years of hands-on experience in distributed systems and data engineering frameworks (Airflow, Spark, Kafka ecosystem, or Kinesis).
- Strong expertise in SQL, DBT, and data modeling.
- Experience with BigQuery, Snowflake, or other modern data warehouses.
- Solid understanding of cloud environments (preferably GCP).
- Familiarity with Docker, Kubernetes, and container-based deployments.
- Knowledge of ad-serving technologies and data standards is a plus.
- Excellent communication and collaboration skills with a problem-solving mindset.
- GCP
- Airflow
- Google BigQuery
- Python
- Distributed Systems
- Data Pipeline Design
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