
Lead Data Engineering Professional
5 days ago
Job Overview:
We are seeking a seasoned data engineering expert to join our team. As a Principal Data Engineer, you will be responsible for architecting and maintaining robust, scalable data pipelines using Databricks, Spark, and Delta Lake.
This role requires a deep understanding of big data processing, workflow orchestration, and job performance tuning. You will work closely with cross-functional teams to support the enterprise data strategy.
Key Responsibilities:- Design and implement efficient data processing solutions using Spark and other technologies.
- Leverage AWS services to optimize data delivery and scalability.
- Mentor junior engineers to adopt modern data engineering practices.
- Collaborate with architecture and platform teams to ensure alignment of engineering strategies with business objectives.
- Strong hands-on experience with Databricks, PySpark, SparkSQL, Apache Spark, AWS, Python, and SQL.
- Deep understanding of enterprise-wide data architecture patterns such as Data Fabric or Data Mesh.
- Demonstrated ability to learn and apply new technologies quickly.
- Excellent analytical and problem-solving skills.
- Experience with Scaled Agile Framework (SAFe) and Agile delivery.
- Opportunity to work on high-impact data engineering projects.
- Collaborative and dynamic work environment.
- Professional growth and development opportunities.
- AWS Certified Data Engineer.
- Databricks Certification.
- SAFe Certification.
- Excellent written and verbal communication skills.
- Able to work effectively in global, distributed teams.
- Highly self-motivated and proactive.
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