Senior Data Engineer
Summary
Senior Data Engineer building scalable cloud data pipelines and modernizing enterprise data platforms using Python, SQL, and cloud services (Azure/AWS/GCP) with tools like Databricks, Snowflake, and Spark.
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.