Senior Data Engineer

Role Summary

We are looking for a Senior Data Engineer to design, build, and optimize high-performance data pipelines and data systems. The ideal candidate will have strong experience with cloud platforms, modern ETL/ELT tools, and deep technical skills in Python, SQL, and distributed data frameworks.

Key Responsibilities

• Design, develop, and maintain scalable and reliable ETL/ELT pipelines.
• Build data models, data marts, and data warehouses to support analytics and reporting needs.
• Work with large-scale structured and unstructured datasets across multiple sources.
• Implement data quality, validation, and monitoring frameworks.
• Optimize existing pipelines for better performance, cost efficiency, and maintainability.
• Collaborate with Data Science, BI, Product, and Engineering teams to gather and implement data requirements.
• Write optimized SQL queries and well-structured, maintainable Python code.
• Support production pipelines by troubleshooting issues and performing root cause analysis.
• Use version control, CI/CD, and automated deployment tools for data engineering tasks.
• Ensure compliance with data security, privacy, and governance standards.

Required Skills & Experience

• 5+ years of hands-on experience in Data Engineering.
• Strong programming skills in Python and SQL.
• Experience with ETL frameworks (Airflow, dbt, Spark, Glue, Dataflow, etc.).
• Expertise in cloud data platforms (AWS, Azure, or GCP).
• Strong understanding of data modelling and data warehouse/lakehouse architectures.
• Experience working with big data tools (Spark, Kafka, Hadoop) is a plus.
• Experience with source control (Git) and CI/CD pipelines.
• Good problem-solving skills and ability to work in cross-functional teams.

Preferred / Nice-to-Have Skills

• Experience with Snowflake, Redshift, BigQuery, Databricks, or Synapse.
• Exposure to event-driven or real-time data streaming architectures.
• Experience integrating with ML pipelines or supporting Data Science workloads.
• Familiarity with containerization (Docker, Kubernetes).