About the Company
Saicon Consultants, Inc. is a leading IT consulting firm with over 20 years of experience providing IT professional services to Fortune 500 companies nationwide. With a focus on high-quality, cost-effective solutions, Saicon offers individualized attention to meet client needs. As a certified Minority/Women-Owned Enterprise and SBA 8(a) certified, Saicon is committed to delivering exceptional IT consulting services, specializing in ERP, client-server development, and administration.
About the Role
Saicon is seeking a Senior Hadoop Architect to lead and optimize Hadoop ecosystem architecture for clients, ensuring the efficient management of big data platforms. The role requires a deep understanding of Hadoop technologies and a strong background in cloud migrations. The ideal candidate will be responsible for overseeing the implementation and management of Hadoop platforms, working with cutting-edge tools like Hive, Spark, and Azure, and mentoring junior developers.
Responsibilities
- Architect, implement, and manage on-prem Hadoop ecosystems and transitions to cloud environments.
- Oversee the installation, configuration, and tuning of Hadoop platforms, ensuring high performance and scalability.
- Migrate Hadoop workloads to the cloud, ensuring smooth and secure transitions.
- Work with technologies like Hive, HBase, Spark, HDFS, YARN, MapReduce, and Jupyter for data processing.
- Lead and mentor junior developers, ensuring high-quality, zero-defect project delivery.
- Conduct code reviews and ensure adherence to development best practices.
- Collaborate with cross-functional teams to integrate Hadoop solutions effectively within the organization.
- Troubleshoot, resolve, and optimize Hadoop-related performance issues.
- Provide strategic guidance for big data hosting in cloud environments like Azure and Snowflake.
Required Skills
- 10+ years of experience in the Hadoop ecosystem, particularly with Hadoop, Hive, Spark, HBase, HDFS, YARN, and MapReduce.
- Strong experience in cloud migrations, particularly for Hadoop workloads to cloud platforms like Azure, Databricks, and Snowflake.
- Hands-on experience with ETL tools and Jupyter for data analysis.
- Proficiency in Linux basics and data analytics tools such as Tableau.
- Agile development methodology experience is a plus.
- Strong analytical and problem-solving skills with the ability to troubleshoot complex issues.
- Proven experience in leading code reviews and mentoring junior developers.
- Excellent communication and leadership skills.
- Ability to deliver projects with zero defects and high-quality standards.
Preferred Qualifications
- Familiarity with Azure, Databricks, and Snowflake for cloud-based big data solutions.
- Experience with Data Analytics tools like Tableau.
- Background in leading cloud migrations and optimizing cloud-based big data platforms.
- Previous experience in mentoring junior engineers and leading teams.