Senior Data Engineer

Senior Data Engineer | Global Enterprise Opportunity

We are hiring Senior Data Engineers for enterprise-scale cloud data engineering and modernization initiatives with leading global organizations. The role offers an opportunity to work on modern data platforms, large-scale data environments, and complex cloud transformation programs.

What We Are Looking For

• 4+ years of hands-on experience in Data Engineering.
• Strong expertise in Python and SQL.
• Experience developing and optimizing ETL/ELT pipelines.
• Strong experience with Azure, AWS, or GCP.
• Hands-on experience with one or more of Databricks, Snowflake, Spark/PySpark, Azure Data Factory, or Synapse.
• Strong understanding of data warehousing, data modeling, and large-scale data processing.

What You Will Work On

• Design and develop scalable data pipelines and cloud data solutions.
• Build data processing workflows across modern cloud and lakehouse platforms.
• Develop and optimize batch and real-time data processing solutions.
• Integrate data across multiple enterprise systems and sources.
• Drive performance, scalability, and reliability of data platforms.
• Contribute to cloud migration and data modernization initiatives.

Preferred Experience

Kafka, Delta Lake, Airflow, streaming technologies, CI/CD, or data governance.

Notice Period: Immediate to 30 days preferred.

Contract: Long-term contract opportunity with strong potential for extension.

Please note: We review applications based on relevant skills, experience, and expertise. As applications are reviewed on a weekly basis, we appreciate your patience during the process. If your profile aligns with the requirements of the role, our team will be in touch to discuss the next steps.