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).