
Big Data Solutions Expert
2 weeks ago
Job Title:
Data Engineering Lead
About the Role:
We are seeking a seasoned professional to lead our data architecture team. The successful candidate will design and implement scalable, efficient, and fault-tolerant data pipelines, as well as mentor team members and drive technical innovation.
Main Responsibilities:
- Design and develop large-scale data pipelines using Scala, Python, and PySpark.
- Lead and mentor a team of data engineers to build and maintain data architectures.
- Collaborate with cross-functional teams to identify data requirements and implement data-driven solutions.
- E nsure data quality, integrity, and security across all data pipelines.
- Develop and maintain technical documentation for data pipelines and architectures.
- Stay up-to-date with industry trends and emerging technologies in big data, cloud computing, and data engineering.
- Drive technical innovation and recommend new tools and technologies to improve data engineering capabilities.
Requirements:
- 5+ years of experience in big data engineering, with expertise in Scala, Python, and PySpark.
- Strong experience with big data technologies such as Apache Spark, Hadoop, and Kafka.
- Experience with cloud-based data platforms such as AWS, GCP, or Azure.
- Strong understanding of data architecture, data governance, and data security.
- Excellent leadership and mentoring skills, with experience leading high-performing teams.
- Strong communication and collaboration skills, with ability to work with cross-functional teams.
- Bachelor's or Master's degree in Computer Science, Engineering, or related field.
What We Offer:
- Opportunity to work with cutting-edge technologies.
- Collaborative and dynamic work environment.
- Professional development and growth opportunities.
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