{"id":3289886,"url":"https://alion.io/job/pradeepit-consulting-services-pvt-ltd-dataops-engineer-or-database-administration-permanent-remote","title":"Dataops Engineer or database administration | Permanent Remote","company":{"id":5687,"name":"PradeepIT Global Consulting","domain":"pradeepit.com","url":"https://alion.io/company/pradeepit-consulting-services-pvt-ltd","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"inferred_company_offices","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon S3","optional":false},{"name":"CI/CD","optional":false},{"name":"ClickHouse","optional":false},{"name":"Configuration Management","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Hadoop","optional":false},{"name":"MS SQL","optional":false},{"name":"MySQL","optional":false},{"name":"Oracle","optional":false},{"name":"PostgreSQL","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"Ansible","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"CloudFormation","optional":true},{"name":"Docker","optional":true},{"name":"GCP","optional":true},{"name":"Kubernetes","optional":true}],"status":"live","first_seen_at":"2026-10-01T10:21:53Z","employer_posted_date":null,"last_verified_at":"2026-10-01T10:21:53Z","board_verified":false,"closed_at":null,"days_open":31,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":31},"description":"Job descriptionWe 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.\nRoles & Responsibilities-\nBuilding 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.\n\nUsing automation to streamline data processing. To reduce development time and increase data reliability, DataOps engineers automate manual processes, such as data extraction and testing.\n\nManaging 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.\n\nDesigning data engineering assets. This involves developing frameworks to support an organizations data demands.\n\nFacilitating collaboration. DataOps engineers communicate and collaborate with other data and BI team members to enhance the quality of data products.\n\nTesting. 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).\n\nAdopting new solutions. This includes testing and adopting solutions and tools that adhere to the DataOps best practices.\n\nHandling security. DataOps engineers ensure data security standards are applied across the data pipelines.\n\nReducing 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.\n\nDatabase Consolidations: Assist in consolidating multiple databases across different cloud providers into a unified, managed environment, ensuring consistency and efficient operations.\n\nDatabase Performance Improvements: Identify performance bottlenecks in MongoDB and other database systems, and implement optimizations such as indexing, query tuning, and database configuration enhancements.\n\nBig Data: Manage and maintain the DataLake Bronze/Silver/Gold storages and seeks to quickly find the right data repository for the right workload.\n\nTest 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.\n\nCICD 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.\n\nSQL 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).\n\nDatabase Administration: Perform routine database administration tasks, including backup and recovery, monitoring, security, and user management for the supported database systems.\n\nAutomation: Develop and maintain automation scripts and tools to streamline database administration tasks, such as provisioning, configuration management, and data migration.\n\nCollaboration: Work closely with cross-functional teams, including developers, system administrators, QA engineers, and DevOps personnel, to ensure smooth database operations and support their requirements.\n\nDocumentation: Create and maintain technical documentation, including database design specifications, standard operating procedures, and troubleshooting guides.\n\nContinuous 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.\n\nExperience & key skills:\nProven experience as a Database Administrator or DataOps Engineer.\n\nStrong knowledge of database management systems, such as Oracle, MySQL, PostgreSQL, MongoDB, and MS SQL Server.\n\nExperience with managing ClickHouse cluster or similar Data Warehouse\n\nProven experience with Big Data storage technologies such as S3,HDFS and ELK, Hadoop is a plus.\n\nProficiency in database administration, performance tuning, and troubleshooting.\n\nExperience with infrastructure as code tools, such as Terraform, Ansible, or CloudFormation.\n\nSolid understanding of DevOps principles and practices, including CI/CD workflows.\n\nStrong SQL skills and ability to optimize complex queries across multiple database platforms.\n\nExperience with cloud platforms, such as AWS, Azure, or Google Cloud Platform.\n\nFamiliarity with containerization technologies, such as Docker and Kubernetes.\n\nPrior experience with SSRS (SQL Server Reporting Services) is a plus.\n\nStrong problem-solving skills and the ability to work independently and as part of a team.\n\nExcellent communication and collaboration skills.\n\nImmediate Joiner or less than 30 days notice period candidate are most welcome.\n\nRole: Cloud System Administration\n\nIndustry Type: IT Services & Consulting\n\nOriginally posted on Himalayas","description_format":"text","description_chars":5312,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Outsourcing & Dedicated Teams","Enterprise Apps Implementation 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