Design, build, and maintain robust, scalable data pipelines to process structured and unstructured data from various sources
Develop and optimize data architectures and data models for analytics and operational use.

Collaborate with data scientists, analysts, and other stakeholders to ensure data availability, quality, and usability.
Implement data governance, security, and compliance measures to protect sensitive data.
Monitor pipeline performance and troubleshoot data-related issues in production environments.
Automate data workflows to improve efficiency and reduce manual intervention.
Integrate new data management technologies and software engineering tools into existing structures.

Required Skills

Over 5+ years of extensive hands-on experience in Python.
Have hands-on experience in in designing and implementing Power Automate Solutions.
Experienced in leading a support team and implementing small to medium level enhancements.
Experienced in working with end users directly to understand functional requirements, root cause analysis and resolution of production issues.
Hands-on experience in working with RDBMS technologies.
Good to have Experienced in working with SQL, Spark (Pyspark preferred)
Experienced in working with a global engineering team.
Excellent analytical and communication skills.
Passionate to research and learn new technologies

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