Senior Data Engineer

2 days ago

Chennai, Tamil Nadu, India Weekday AI Full time ₹ 4,50,000 - ₹ 6,75,000 per year

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.
Required Skills & Experience
  • 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.
Core Skills
  • GCP
  • Airflow
  • Google BigQuery
  • Python
  • Distributed Systems
  • Data Pipeline Design

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