4 Data Storage jobs in Bahrain
Software Engineer - Data Infrastructure
Posted 10 days ago
Job Viewed
Job Description
The data platform team is responsible for the automation of data platform operations. This includes ensuring fault-tolerant replication, TLS, installation, and much more; but also provides domain-specific expertise on the actual data system to other teams within Canonical. This role is focused on the creation and automation of features of data platforms, not analysing the data in them.
Responsibilities- Collaborate proactively with a distributed team
- Write high-quality, idiomatic Python code to create new features
- Debug issues and interact with upstream communities publicly
- Work with helpful and talented engineers including experts in many fields
- Discuss ideas and collaborate on finding good solutions
- Work from home with global travel for 2 to 4 weeks per year for internal and external events
- Proven hands-on experience in software development using Python
- Proven hands-on experience in distributed systems
- Have a Bachelor’s or equivalent in Computer Science, STEM, or a similar degree
- Willingness to travel up to 4 times a year for internal events
You might also bring a subset of experience from the following, which will determine the exact role and level we consider you for:
- Experience operating and managing data platform technologies like PostgreSQL, MySQL, MongoDB, OpenSearch, Kafka, Yugabyte, Trino, Superset, Atlas, Ranger, and Redis
- Experience with Linux systems administration, package management, and operations
- Experience with the public cloud or a private cloud solution like OpenStack
- Experience with operating Kubernetes clusters and a belief that it can be used for serious persistent data services
Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce.
In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, please ask your Talent Partner.
- Fully remote working environment - we’ve been working remotely since 2004!
- Personal learning and development budget of 2,000USD per annum
- Annual compensation review
- Recognition rewards
- Annual holiday leave
- Parental Leave
- Employee Assistance Programme
- Opportunity to travel to new locations to meet colleagues at sprints
- Priority Pass for travel and travel upgrades for long haul company events
Software Engineer - Data Infrastructure
Posted 10 days ago
Job Viewed
Job Description
Join to apply for the Software Engineer - Data Infrastructure role at Canonical
1 day ago Be among the first 25 applicants
Join to apply for the Software Engineer - Data Infrastructure role at Canonical
Canonical is building a comprehensive automation suite to provide multi-cloud and on-premise data solutions for the enterprise. The data platform team is a collaborative team that develops a full range of data stores and data technologies, spanning from big data, through NoSQL, cache-layer capabilities, and analytics; all the way to structured SQL engines.
We are facing the interesting problem of fault-tolerant mission-critical distributed systems and intend to deliver the world's best automation solution for delivering data platforms.
We have a number of openings ranging anywhere from junior to senior level. We will help you identify a suitable position depending on your experience and interests. Engineers who thrive at Canonical are mindful of open-source community dynamics and equally aware of the needs of large, innovative organisations.
Location: This is a Globally remote role
What your day will look like
The data platform team is responsible for the automation of data platform operations. This includes ensuring fault-tolerant replication, TLS, installation, and much more; but also provides domain-specific expertise on the actual data system to other teams within Canonical. This role is focused on the creation and automation of features of data platforms, not analysing the data in them.
- Collaborate proactively with a distributed team
- Write high-quality, idiomatic Python code to create new features
- Debug issues and interact with upstream communities publicly
- Work with helpful and talented engineers including experts in many fields
- Discuss ideas and collaborate on finding good solutions
- Work from home with global travel for 2 to 4 weeks per year for internal and external events
- Proven hands-on experience in software development using Python
- Proven hands-on experience in distributed systems
- Have a Bachelor's or equivalent in Computer Science, STEM, or a similar degree
- Willingness to travel up to 4 times a year for internal events
You might also bring a subset of experience from the following, which will determine the exact role and level we consider you for:
- Experience operating and managing data platform technologies like PostgreSQL, MySQL, MongoDB, OpenSearch, Kafka, Yugabyte, Trino, Superset, Atlas, Ranger, and Redis
- Experience with Linux systems administration, package management, and operations
- Experience with the public cloud or a private cloud solution like OpenStack
- Experience with operating Kubernetes clusters and a belief that it can be used for serious persistent data services
Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce.
In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, please ask your Talent Partner.
- Fully remote working environment - we've been working remotely since 2004!
- Personal learning and development budget of 2,000USD per annum
- Annual compensation review
- Recognition rewards
- Annual holiday leave
- Parental Leave
- Employee Assistance Programme
- Opportunity to travel to new locations to meet colleagues at 'sprints'
- Priority Pass for travel and travel upgrades for long haul company events
Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do.
Canonical has been a remote-first company since its inception in 2004. Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.
Canonical is an equal-opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.
Seniority level
- Seniority level Entry level
- Employment type Full-time
- Job function Engineering and Information Technology
- Industries Software Development
Referrals increase your chances of interviewing at Canonical by 2x
Sign in to set job alerts for “Software Engineer” roles.Manama, Capital Governorate, Bahrain 4 months ago
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#J-18808-LjbffrSoftware Engineer - Data Infrastructure - Kafka
Posted 7 days ago
Job Viewed
Job Description
Join to apply for the Software Engineer - Data Infrastructure - Kafka role at Canonical
Software Engineer - Data Infrastructure - Kafka3 days ago Be among the first 25 applicants
Join to apply for the Software Engineer - Data Infrastructure - Kafka role at Canonical
Canonical is building a comprehensive automation suite to provide multi-cloud and on-premise data solutions for the enterprise. The data platform team is a collaborative team that develops a managed solutions for a full range of data stores and data technologies, spanning from big data, through NoSQL, cache-layer capabilities, and analytics; all the way to structured SQL engines (similar to Amazon RDS approach).
We are facing the interesting problem of fault-tolerant mission-critical distributed systems and intend to deliver the world's best automation solution for delivering managed data platforms.
We are looking for candidates from junior to senior level with interests, experience and willingness to learn around Big Data technologies, such as distributed event-stores (Kafka) and parallel computing frameworks (Spark). Engineers who thrive at Canonical are mindful of open-source community dynamics and equally aware of the needs of large, innovative organisations.
Location: This is a Globally remote role
What your day will look like
The data platform team is responsible for the automation of data platform operations, with the mission of managing and integrating Big Data platforms at scale. This includes ensuring fault-tolerant replication, TLS, installation, backups and much more; but also provides domain-specific expertise on the actual data system to other teams within Canonical. This role is focused on the creation and automation of infrastructure features of data platforms, not analysing and/or processing the data in them.
- Collaborate proactively with a distributed team
- Write high-quality, idiomatic Python code to create new features
- Debug issues and interact with upstream communities publicly
- Work with helpful and talented engineers including experts in many fields
- Discuss ideas and collaborate on finding good solutions
- Work from home with global travel for 2 to 4 weeks per year for internal and external events
- Proven hands-on experience in software development using Python
- Proven hands-on experience in distributed systems, such as Kafka and Spark
- Have a Bachelor's or equivalent in Computer Science, STEM, or a similar degree
- Willingness to travel up to 4 times a year for internal events
You might also bring a subset of experience from the followings that can help Data Platform to achieve its challenging goals and determine the level we will consider you for:
- Experience operating and managing other data platform technologies, SQL (MySQL, PostgreSQL, Oracle, etc) and/or NoSQL (MongoDB, Redis, ElasticSearch, etc), similar to DBA level expertise
- Experience with Linux systems administration, package management, and infrastructure operations
- Experience with the public cloud or a private cloud solution like OpenStack
- Experience with operating Kubernetes clusters and a belief that it can be used for serious persistent data services
Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce.
In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, please ask your Talent Partner.
- Fully remote working environment - we've been working remotely since 2004!
- Personal learning and development budget of 2,000USD per annum
- Annual compensation review
- Recognition rewards
- Annual holiday leave
- Parental Leave
- Employee Assistance Programme
- Opportunity to travel to new locations to meet colleagues twice a year
- Priority Pass for travel and travel upgrades for long haul company events
Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do.
Canonical has been a remote-first company since its inception in 2004. Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.
Canonical is an equal-opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.
Seniority level
- Seniority level Entry level
- Employment type Full-time
- Job function Engineering and Information Technology
- Industries Software Development
Referrals increase your chances of interviewing at Canonical by 2x
Get notified about new Software Engineer jobs in Manama, Capital Governorate, Bahrain .
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#J-18808-LjbffrSenior Data Engineer - Cloud Infrastructure
Posted today
Job Viewed
Job Description
Key Responsibilities:
- Design, develop, and maintain scalable and reliable data pipelines using ETL/ELT processes.
- Build and optimize data warehouses, data lakes, and other big data solutions on cloud platforms (AWS, Azure, GCP).
- Implement data modeling techniques and best practices for efficient data storage and retrieval.
- Ensure data quality, integrity, and consistency across all data platforms.
- Develop and maintain robust data governance policies and procedures.
- Collaborate with data scientists and analysts to provide clean and accessible datasets for analysis and machine learning models.
- Monitor and troubleshoot data infrastructure performance, identifying and resolving bottlenecks.
- Automate data processes and deployments using CI/CD pipelines.
- Stay abreast of emerging technologies and industry trends in data engineering and cloud computing.
- Provide technical guidance and mentorship to junior data engineers.
- Bachelor's degree in Computer Science, Engineering, or a related field.
- 5+ years of experience in data engineering, with a focus on cloud-based data solutions.
- Proven experience with at least one major cloud provider (AWS, Azure, GCP).
- Strong programming skills in Python, Scala, or Java.
- Expertise in SQL and database technologies (e.g., PostgreSQL, MySQL, Snowflake).
- Hands-on experience with big data technologies such as Spark, Hadoop, Kafka.
- Experience with data warehousing concepts and tools (e.g., Redshift, BigQuery, Synapse).
- Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
- Excellent problem-solving and analytical skills.
- Strong communication and interpersonal skills for effective collaboration.
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