Today
Unspecified
Senior Level Career (10+ yrs experience)
No Traveling
IT - Database
We are seeking a highly skilled Timeseries Database and Data Lake Implementation Specialist to join our dynamic team. In this role, you will be responsible for deploying and managing a timeseries database and a data lake, with a focus on ensuring efficient data storage, retrieval, and analysis. This position will play a critical role in enabling our data-driven initiatives and supporting our analytical and IoT projects.
**Key Responsibilities:**
- Design, deploy, and manage a timeseries database to support real-time and historical data analysis.
- Develop and maintain a data lake architecture that integrates with various data sources.
- Implement data modeling best practices to ensure data integrity, consistency, and scalability.
- Utilize AWS Glue for ETL processes to seamlessly integrate data across platforms.
- Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs.
- Monitor and optimize database performance, ensuring high availability and reliability.
- Provide support and troubleshooting for database and data lake issues.
- Stay updated with the latest trends and technologies in timeseries databases and data lakes.
**Required Skills:**
- Proven experience with timeseries databases (e.g., InfluxDB, TimescaleDB).
- Strong data modeling skills, with the ability to design and optimize complex data schemas.
- Hands-on experience with AWS Glue and other AWS services.
- Proficiency in ETL processes and data integration techniques.
- Strong problem-solving skills and attention to detail.
**Desired Skills:**
- Experience with IoT Greengrass or similar IoT frameworks.
- Knowledge of big data technologies and tools (e.g., Hadoop, Spark).
- Familiarity with data governance and security best practices.
- Excellent communication and teamwork skills.
**Key Responsibilities:**
- Design, deploy, and manage a timeseries database to support real-time and historical data analysis.
- Develop and maintain a data lake architecture that integrates with various data sources.
- Implement data modeling best practices to ensure data integrity, consistency, and scalability.
- Utilize AWS Glue for ETL processes to seamlessly integrate data across platforms.
- Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs.
- Monitor and optimize database performance, ensuring high availability and reliability.
- Provide support and troubleshooting for database and data lake issues.
- Stay updated with the latest trends and technologies in timeseries databases and data lakes.
**Required Skills:**
- Proven experience with timeseries databases (e.g., InfluxDB, TimescaleDB).
- Strong data modeling skills, with the ability to design and optimize complex data schemas.
- Hands-on experience with AWS Glue and other AWS services.
- Proficiency in ETL processes and data integration techniques.
- Strong problem-solving skills and attention to detail.
**Desired Skills:**
- Experience with IoT Greengrass or similar IoT frameworks.
- Knowledge of big data technologies and tools (e.g., Hadoop, Spark).
- Familiarity with data governance and security best practices.
- Excellent communication and teamwork skills.
group id: apexsan
