DataOps工程师或数据库管理员 | 永久远程

Job description
We are looking for a talented individual with minimum 5 years of experience to join a team of passionate and highly-skilled technology professionals in creating leading customer-centric software for the energy and finance sector.
Roles & Responsibilities-

• Building and optimizing data pipelines to facilitate the extraction of data from multiple sources and load it into data warehouses. A DataOps engineer must be familiar with extract, load, transform (ELT) and extract, transform, load (ETL) tools.

• Using automation to streamline data processing. To reduce development time and increase data reliability, DataOps engineers automate manual processes, such as data extraction and testing.

• Managing the production of data pipelines. A DataOps engineer provides organizations with access to structured datasets and analytics they will further analyze and derive insights from.

• Designing data engineering assets. This involves developing frameworks to support an organizations data demands.

• Facilitating collaboration. DataOps engineers communicate and collaborate with other data and BI team members to enhance the quality of data products.

• Testing. This involves executing automated testing at every stage of a pipeline to increase productivity while reducing errors. This includes unit tests (testing separate components of a data pipeline) as well as performance tests (testing the responsiveness) and end-to-end tests (testing the whole pipeline).

• Adopting new solutions. This includes testing and adopting solutions and tools that adhere to the DataOps best practices.

• Handling security. DataOps engineers ensure data security standards are applied across the data pipelines.

• Reducing waste and improving data flow. This involves continually striving to reduce wasted effort, identify gaps and correct them, and improve data development and deployment processes.

• Database Consolidations: Assist in consolidating multiple databases across different cloud providers into a unified, managed environment, ensuring consistency and efficient operations.

• Database Performance Improvements: Identify performance bottlenecks in MongoDB and other database systems, and implement optimizations such as indexing, query tuning, and database configuration enhancements.

• Big Data: Manage and maintain the DataLake Bronze/Silver/Gold storages and seeks to quickly find the right data repository for the right workload.

• Test Environment Best Practices: Collaborate with the QA and development teams to establish best practices for test environments, including data seeding, cleansing sensitive data, and maintaining consistent data sets.

• CICD and IaC Integration: Work closely with the DevOps team to integrate database improvements into the CI/CD pipeline and Infrastructure as Code (IaC) workflows, using tools like Terraform.

• SQL Expertise: Utilize your strong SQL skills to create and optimize complex queries, stored procedures, and database views across various database platforms (Postgres, MySQL, MS SQL Server, MongoDB).

• Database Administration: Perform routine database administration tasks, including backup and recovery, monitoring, security, and user management for the supported database systems.

• Automation: Develop and maintain automation scripts and tools to streamline database administration tasks, such as provisioning, configuration management, and data migration.

• Collaboration: Work closely with cross-functional teams, including developers, system administrators, QA engineers, and DevOps personnel, to ensure smooth database operations and support their requirements.

• Documentation: Create and maintain technical documentation, including database design specifications, standard operating procedures, and troubleshooting guides.

• Continuous Improvement: Stay updated with the latest trends and technologies in database management, DevOps, and cloud computing. Propose and implement innovative solutions to enhance the database systems' performance, scalability, and security.

Experience & key skills:

• Proven experience as a Database Administrator or DataOps Engineer.

• Strong knowledge of database management systems, such as Oracle, MySQL, PostgreSQL, MongoDB, and MS SQL Server.

• Experience with managing ClickHouse cluster or similar Data Warehouse

• Proven experience with Big Data storage technologies such as S3,HDFS and ELK, Hadoop is a plus.

• Proficiency in database administration, performance tuning, and troubleshooting.

• Experience with infrastructure as code tools, such as Terraform, Ansible, or CloudFormation.

• Solid understanding of DevOps principles and practices, including CI/CD workflows.

• Strong SQL skills and ability to optimize complex queries across multiple database platforms.

• Experience with cloud platforms, such as AWS, Azure, or Google Cloud Platform.

• Familiarity with containerization technologies, such as Docker and Kubernetes.

• Prior experience with SSRS (SQL Server Reporting Services) is a plus.

• Strong problem-solving skills and the ability to work independently and as part of a team.

• Excellent communication and collaboration skills.

Immediate Joiner or less than 30 days notice period candidate are most welcome.

• Role: Cloud System Administration

• Industry Type: IT Services & Consulting

Originally posted on Himalayas