Senior Data Engineer

This position is responsible for architecting, implementing, and optimizing complex data solutions. This role leads the development of sophisticated data pipelines, warehouses, and analytics platforms while mentoring junior team members and collaborating with stakeholders to drive data-driven decision-making, Data Architecture and Strategy - Design and implement scalable, efficient data architectures. Lead the development of data strategy aligned with business objectives. Evaluate and integrate new technologies to enhance data capabilities Advanced Data Pipeline Development - Architect and implement complex data pipelines for real-time and batch processing. Optimize data flows for high-volume, high-velocity data environments. Develop advanced ETL processes for diverse data sources. Data Governance and Quality Management - Establish and enforce data governance policies and best practices. Implement data quality frameworks and monitoring systems. Ensure compliance with data regulations and standards Performance Optimization and Troubleshooting - Analyze and optimize system performance for large-scale data operations. Troubleshoot complex data issues and implement robust solutions Mentorship and Knowledge Sharing - Mentor junior data engineers and provide technical guidance. Contribute to the development of best practices and standards. Collaborate with cross-functional teams to drive data literacy

Advanced data modeling and architecture ETL processes and tools (e.g., DBTran, IICS, DataStage, SSIS, Apache Spark, Airflow) Big data technologies (e.g., Snowflake, Hadoop, Spark) (Expert, Required) Cloud data platforms (e.g., AWS, Azure, GCP) Data streaming and real-time processing Machine learning integration

Qualifications:

Minimum Required Education and Experience: Bachelor’s Degree and 4 years’ experience.

OR

High School Diploma or GED/Equivalent and 8 years’ experience in Data engineering, big data technologies, cloud platforms.

Preferred Education:Other Preferred Area of Study:Computer Science, Information Systems, Data Science, or related field Preferred Area of Experience:Machine learning operations, data science collaboration Required Licenses or Certifications: Preferred Licenses or Certifications