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Director of Data Infrastructure Engineering
12-15 years
Bangalore / Bengaluru
1 vacancy
Director of Data Infrastructure Engineering
RapidAI
posted 10hr ago
Job Role Insights
Key skills for the job
Job Description
- Design and implement scalable, reliable, and efficient data infrastructure solutions to support the organizations data processing, storage, and analytics needs.
- Collaborate with data engineers, software engineers, and data scientists to understand data requirements and translate them into technical specifications and architecture designs.
- Develop and maintain data pipelines for ingesting, processing, and transforming large volumes of data from various sources, ensuring data quality and integrity.
- Optimize data storage and retrieval processes, including database schema design, indexing strategies, and query optimization, to enhance performance and reduce latency.
- Implement monitoring, alerting, and logging mechanisms to proactively identify and troubleshoot issues in the data infrastructure, ensuring high availability and reliability.
- Stay updated on emerging technologies, tools, and best practices in data engineering and infrastructure management, and recommend adoption as appropriate.
- Provide technical leadership and mentorship to junior members of the team, fostering a culture of collaboration, learning, and continuous improvement.
- Work closely with stakeholders to understand business requirements and priorities,
- Bachelors or Masters degree in Computer Science, Engineering, or a related field.
- 12-15 years of overall experience with atleast 5+ years in data engineering or infrastructure roles, with a focus on designing and building scalable data platforms.
- Proficiency in programming languages such as Python, Java, or Scala, and experience with data processing frameworks such as Apache Spark, Snowflake, Apache Flink, or Hadoop.
- Strong understanding of distributed systems, cloud computing platforms (e.g., AWS, GCP, Azure), and containerization technologies (e.g., Docker, Kubernetes).
- Experience with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., Cassandra, MongoDB).
- Hands-on experience with data pipeline orchestration tools such as Apache Airflow, Luigi, or Prefect.
- Excellent problem-solving skills and the ability to troubleshoot complex issues in a distributed environment.
- Strong communication skills and the ability to collaborate effectively with cross-functional teams.
- Experience with Agile methodologies and DevOps practices is a plus
Employment Type: Full Time, Permanent
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