Dataops Engineer or database administration | Permanent Remote

This a Full Remote job, the offer is available from: India, Oregon (USA) 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 This offer from "PradeepIT Consulting Services Pvt Ltd" has been enriched by Jobgether.com and got a 75% flex score. Apply tot his job