Dataops Engineer or database administration | Permanent Remote
# Dataops Engineer or database administration | Permanent Remote **PradeepIT Consulting Services Pvt Ltd** · India · `Remote` · `Full Time` 💼 **Уровень роли:** `Senior` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[DataOps-Engineer]` `[Database-Administrator]` `[Data-Engineer]` `[Remote-Database-Administrator]` `[Database-Operations-Engineer]` `[Senior-Database-Administrator-(SQL-NoSQL)]` --- ### About the Role 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
- DataOps-Engineer
- Database-Administrator
- Data-Engineer
- Remote-Database-Administrator
- Database-Operations-Engineer
- Senior-Database-Administrator-(SQL-NoSQL)
Наблюдалась 2026-10-01, впервые 2026-10-01, источник — Himalayas (JSON API).