Senior Cloud Data Engineer

About the role

We are seeking a Senior Cloud Data Engineer to lead the design, development, and optimization of modern data platforms for our clients. You will work on lakehouse architectures, ETL/ELT pipelines, and production-grade data solutions that power analytics, reporting, and machine learning initiatives.

Key responsibilities

• Design and implement scalable data pipelines using PySpark, Databricks, Delta Lake, and cloud-native orchestration tools.
• Develop medallion-layer architectures (bronze, silver, gold) with data quality, lineage, and monitoring built in.
• Partner with analytics, governance, and client stakeholders to translate business requirements into reliable data products.
• Optimize pipeline performance, cost, and reliability across development, test, and production environments.
• Contribute to technical documentation, code reviews, and best-practice standards for client delivery teams.

Qualifications

• 5+ years of hands-on data engineering experience in client-facing or enterprise environments.
• Strong proficiency in SQL, Python, and PySpark for large-scale data processing.
• Production experience with Azure Databricks, Azure Data Factory, or similar cloud data services.
• Experience with Delta Lake, lakehouse patterns, or modern warehouse platforms (Snowflake, Synapse, Fabric).
• Excellent communication skills and ability to work independently with distributed teams.

Nice to have

• Databricks or Azure certifications.
• Experience in financial services, telecom, or energy sectors.
• Familiarity with DBT, Unity Catalog, or CI/CD for data platforms.