
Big Data Solutions Expert
3 days ago
Job Title:
Lead Data Architect
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.
Ensure 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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