Mazo Solutions | Data Engineering Architect
3 weeks ago
Position: Data Engineering Architect
Experience Required: 10+ Years
Location: (Insert Location or Remote)
Employment Type: (Full-time/Contract)
About the RoleWe are seeking an experienced Data Engineering Architect with a minimum of 10 years of experience in building and managing scalable data architectures. The ideal candidate will have expertise in PySpark , Python , Hadoop , and Azure Databricks , along with a solid understanding of big data and cloud ecosystems.
Key Responsibilities- Architecture Design:
- Design and implement scalable, efficient, and secure data processing architectures.
- Leverage Hadoop , PySpark , and Azure Databricks for building high-performance data solutions.
- Data Pipeline Management:
- Develop, optimize, and maintain robust ETL workflows for complex data integration tasks.
- Ensure data pipelines meet business and technical requirements.
- Cloud and Big Data Integration:
- Deploy and manage data pipelines on Azure Databricks , ensuring scalability and cost efficiency.
- Integrate cloud services and on-premises systems to streamline data flow.
- Programming and Development:
- Write efficient and maintainable code in Python and PySpark for data processing and transformation.
- Develop APIs and tools for seamless data access and analysis.
- Performance and Optimization:
- Monitor, troubleshoot, and optimize the performance of data pipelines and cloud-based systems.
- Ensure data governance, compliance, and security best practices are implemented.
- Collaboration and Leadership:
- Work closely with stakeholders, including data scientists and analysts, to deliver tailored data solutions.
- Mentor and guide junior team members, fostering a culture of learning and innovation.
- Technical Expertise:
- Minimum of 10 years of experience in Big Data and data engineering.
- Proficiency in PySpark , Python , and the Hadoop ecosystem (HDFS, MapReduce, Hive, etc.).
- Hands-on experience with Azure Databricks and other Azure cloud services.
- Big Data and Cloud Technologies:
- Solid understanding of distributed systems and cloud platforms.
- Experience with Azure Data Factory, Synapse Analytics, or similar tools is a plus.
- Database Knowledge:
- Proficient in SQL and NoSQL databases.
- Familiarity with real-time data processing tools such as Apache Kafka is a bonus.
- Soft Skills:
- Strong problem-solving abilities and attention to detail.
- Excellent communication and collaboration skills to interact with technical and non-technical stakeholders.
- Certifications in Microsoft Azure or related technologies.
- Experience with DevOps practices and CI/CD pipelines.
- Knowledge of machine learning workflows or tools is a plus.
- Competitive compensation and benefits package.
- Opportunities to work on cutting-edge technologies and innovative projects.
- A collaborative work environment fostering growth and creativity.
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