Key Responsibilities:

Lead a team of Data Reliability Engineers and provide technical guidance and mentorship.
Collaborate with cross-functional teams, including software engineers, data analysts, and product managers, to understand their data needs and provide reliable solutions.
Design, implement, and maintain data systems to ensure high availability, performance, and scalability.
Develop and maintain processes for monitoring and alerting of data systems to identify and resolve issues proactively.
Conduct regular performance and load testing to identify potential bottlenecks and optimize data systems.
Troubleshoot and resolve data-related issues in a timely manner.
Develop and maintain disaster recovery and business continuity plans for data systems.
Stay updated with the latest technologies and best practices in data engineering and recommend improvements to existing systems.
Define and enforce data governance policies and procedures to ensure data security and compliance.

Qualifications:

Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field.
At least 5 years of experience in a similar role, with a proven track record of designing and maintaining reliable data systems.
Strong experience with data pipeline frameworks, such as Apache Airflow, Luigi, or AWS Data Pipeline.
Hands-on experience with SQL and NoSQL databases, such as MySQL, PostgreSQL, MongoDB, or Cassandra.
Proficiency in a programming language, such as Python, Java, or Scala.
Experience with cloud computing platforms, preferably AWS.
Excellent analytical and problem-solving skills.
Strong communication and leadership skills.
Ability to work in a fast-paced and dynamic environment with tight deadlines.

We offer a competitive salary, comprehensive benefits package, and opportunities for career growth and development. If you are passionate about data reliability and have the required skills and experience, we want to hear from you! Apply now and join our team of talented and dedicated professionals.

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