11+ dbms Jobs in Hyderabad | dbms Job openings in Hyderabad

Job Description

Job Responsibilities

• Design and implement robust database solutions including

  • Security, backup and recovery

  • Performance, scalability, monitoring and tuning,

  • Data management and capacity planning,

  • Planning, and implementing failover between database instances.

• Create data architecture strategies for each subject area of the enterprise data model.

• Communicate plans, status and issues to higher management levels.

• Collaborate with the business, architects and other IT organizations to plan a data strategy, sharing important information related to database concerns and constrains

• Produce all project data architecture deliverables..

• Create and maintain a corporate repository of all data architecture artifacts.

Skills Required:

• Understanding of data analysis, business principles, and operations

• Software architecture and design Network design and implementation

• Data visualization, data migration and data modelling

• Relational database management systems

• DBMS software, including SQL Server  

• Database and cloud computing design, architectures and data lakes

• Information management and data processing on multiple platforms 

• Agile methodologies and enterprise resource planning implementation

• Demonstrate database technical functionality, such as performance tuning, backup and recovery, monitoring.

• Excellent skills with advanced features such as database encryption, replication, partitioning, etc.

• Strong problem solving, organizational and communication skill.

Job Title - Sr. Administrator, IT Infrastructure Storage

Job Duties -

• Administer IT storage recovery and backup systems. Perform complex provisioning, advanced maintenance, data replication, disaster recovery, data migration, and documentation.
• Participate in ongoing maintenance, utilization, availability, and security of storage infrastructure.
• Perform IT implementations, performance analysis and optimization, monitoring, problem resolution, upgrade planning and execution, and process creation and documentation.
• Analyze and work to improve the quality of services offered by IT. Participate in ongoing technology evaluations to keep up with technology trends and industry standards.
• Be able to script in Perl or Python and perform capacity planning and growth projections.
• Resolve complex IT issues as pertain to the environment and keep abreast on storage & backup technology.
• Experience working with ISILON Storage is a must-have skill.
• Good to have experience in ransomware, anomaly detection, airgap and vaulting technologies.

Education and Experience Requirements -

The position requires a Bachelor’s degree in

Computer Science, Computer Engineering or related field plus 5 years of post-

baccalaureate progressive experience in IT storage environments.

Skills Requirements- Experience must include:

• Expertise in Linux and Windows – Good to have Cloud knowledge
• Utilizing OS-enabled tools for data copy like rsync, robocopy and other tools
• Setting up NFS, SMB, snapshots, replication, SnapMirror, and SyncIQ
• Experience in NAS storage technologies like Netapp, Power scale, Isilon, Qumulo and Weka
• Dell EMC Insight IQ, DataIQ and ESRS, Netapp tools (OCUM/AIUM)
• Rubrik, Cohesity, Veeam and other comparable backup technologies
• Good to have Monitoring and Alerting like Prometheus, SolarWinds, telegraph and Grafana

Role: Oracle DBA Developer

Location: Hyderabad

Required Experience: 8 + Years

Skills : DBA, Terraform, Ansible, Python, Shell Script, DevOps activities, Oracle DBA, SQL server, Cassandra, Oracle sql/plsql, MySQL/Oracle/MSSql/Mongo/Cassandra, Security measure configuration

cid:[email protected]

Roles and Responsibilities:

1. 8+ years of hands-on DBA experience in one or many of the following: SQL Server, Oracle, Cassandra

2. DBA experience in a SRE environment will be an advantage.

3. Experience in Automation/building databases by providing self-service tools. analyze and implement solutions for database administration (e.g., backups, performance tuning, Troubleshooting, Capacity planning)

4. Analyze solutions and implement best practices for cloud database and their components.

5. Build and enhance tooling, automation, and CI/CD workflows (Jenkins etc.) that provide safe self-service capabilities to th6. Implement proactive monitoring and alerting to detect issues before they impact users. Use a metrics-driven approach to identify and root cause performance and scalability bottlenecks in the system.

7. Work on automation of database infrastructure and help engineering succeed by providing self-service tools.

8. Write database documentation, including data standards, procedures, and definitions for the data dictionary (metadata)

9. Monitor database performance, control access permissions and privileges, capacity planning, implement changes and apply new patches and versions when required.

10. Recommend query and schema changes to optimize the performance of database queries.

11. Have experience with cloud-based environments (OCI, AWS, Azure) as well as On-Premises.

12. Have experience with cloud database such as SQL server, Oracle, Cassandra

13. Have experience with infrastructure automation and configuration management (Jira, Confluence, Ansible, Gitlab, Terraform)

14. Have excellent written and verbal English communication skills.

15. Planning, managing, and scaling of data stores to ensure a business’ complex data requirements are met and it can easily access its data in a fast, reliable, and safe manner.

16. Ensures the quality of orchestration and integration of tools needed to support daily operations by patching together existing infrastructure with cloud solutions and additional data infrastructures.

17. Data Security and protecting the data through rigorous testing of backup and recovery processes and frequently auditing well-regulated security procedures.

18. use software and tooling to automate manual tasks and enable engineers to move fast without the concern of losing data during their experiments.

19. service level objectives (SLOs), risk analysis to determine which problems to address and which problems to automate.

20. Bachelor's Degree in a technical discipline required.

21. DBA Certifications required: Oracle, SQLServer, Cassandra (2 or more)

21. Cloud, DevOps certifications will be an advantage.

Must have Skills:

Ø Oracle DBA with development

Ø SQL

Ø Devops tools

Ø Cassandra

• 2+ years experience working with Oracle Commerce Cloud application
• 4-6 years of overall experience in web application.

• Extensive knowledge of Oracle Commerce Cloud
• Excellent knowledge of server-side JAVA for enterprise level applications (J2EE)
• Experience in Javascript (Knockout preferred), Bootstrap, JQUERY, node.js, HTML 5, CSS
• Proficiency in SQL Server, MySQL, and relational data models in context of web integration
• Proficiency with web services (WCF, Web API, SOAP, REST, SOA)
• Excellent Communication Skills

•  Understanding of Oracle cloud technologies including technical
• Experience in working in an Agile environment

CORE RESPONSIBILITIES

• Create and manage cloud resources in AWS 
• Data ingestion from different data sources which exposes data using different technologies, such as: RDBMS, REST HTTP API, flat files, Streams, and Time series data based on various proprietary systems. Implement data ingestion and processing with the help of Big Data technologies 
• Data processing/transformation using various technologies such as Spark and Cloud Services. You will need to understand your part of business logic and implement it using the language supported by the base data platform 
• Develop automated data quality check to make sure right data enters the platform and verifying the results of the calculations 
• Develop an infrastructure to collect, transform, combine and publish/distribute customer data.
• Define process improvement opportunities to optimize data collection, insights and displays.
• Ensure data and results are accessible, scalable, efficient, accurate, complete and flexible 
• Identify and interpret trends and patterns from complex data sets 
• Construct a framework utilizing data visualization tools and techniques to present consolidated analytical and actionable results to relevant stakeholders. 
• Key participant in regular Scrum ceremonies with the agile teams  
• Proficient at developing queries, writing reports and presenting findings 
• Mentor junior members and bring best industry practices 

QUALIFICATIONS

• 5-7+ years’ experience as data engineer in consumer finance or equivalent industry (consumer loans, collections, servicing, optional product, and insurance sales) 
• Strong background in math, statistics, computer science, data science or related discipline
• Advanced knowledge one of language: Java, Scala, Python, C# 
• Production experience with: HDFS, YARN, Hive, Spark, Kafka, Oozie / Airflow, Amazon Web Services (AWS), Docker / Kubernetes, Snowflake  
• Proficient with
• Data mining/programming tools (e.g. SAS, SQL, R, Python)
• Database technologies (e.g. PostgreSQL, Redshift, Snowflake. and Greenplum)
• Data visualization (e.g. Tableau, Looker, MicroStrategy)
• Comfortable learning about and deploying new technologies and tools. 
• Organizational skills and the ability to handle multiple projects and priorities simultaneously and meet established deadlines. 
• Good written and oral communication skills and ability to present results to non-technical audiences 
• Knowledge of business intelligence and analytical tools, technologies and techniques.

Mandatory Requirements 

• Experience in AWS Glue
• Experience in Apache Parquet 
• Proficient in AWS S3 and data lake 
• Knowledge of Snowflake
• Understanding of file-based ingestion best practices.
• Scripting language - Python & pyspark

About Quadratyx:

We are a product-centric insight & automation services company globally. We help the world’s organizations make better & faster decisions using the power of insight & intelligent automation. We build and operationalize their next-gen strategy, through Big Data, Artificial Intelligence, Machine Learning, Unstructured Data Processing and Advanced Analytics. Quadratyx can boast more extensive experience in data sciences & analytics than most other companies in India.

We firmly believe in Excellence Everywhere.

Job Description

Purpose of the Job/ Role:

• As a Technical Lead, your work is a combination of hands-on contribution, customer engagement and technical team management. Overall, you’ll design, architect, deploy and maintain big data solutions.

Key Requisites:

• Expertise in Data structures and algorithms.

• Technical management across the full life cycle of big data (Hadoop) projects from requirement gathering and analysis to platform selection, design of the architecture and deployment.

• Scaling of cloud-based infrastructure.

• Collaborating with business consultants, data scientists, engineers and developers to develop data solutions.

• Led and mentored a team of data engineers.

• Hands-on experience in test-driven development (TDD).

• Expertise in No SQL like Mongo, Cassandra etc, preferred Mongo and strong knowledge of relational databases.

• Good knowledge of Kafka and Spark Streaming internal architecture.

• Good knowledge of any Application Servers.

• Extensive knowledge of big data platforms like Hadoop; Hortonworks etc.

• Knowledge of data ingestion and integration on cloud services such as AWS; Google Cloud; Azure etc. 

Skills/ Competencies Required

Technical Skills

• Strong expertise (9 or more out of 10) in at least one modern programming language, like Python, or Java.

• Clear end-to-end experience in designing, programming, and implementing large software systems.

• Passion and analytical abilities to solve complex problems Soft Skills.

• Always speaking your mind freely.

• Communicating ideas clearly in talking and writing, integrity to never copy or plagiarize intellectual property of others.

• Exercising discretion and independent judgment where needed in performing duties; not needing micro-management, maintaining high professional standards.

Academic Qualifications & Experience Required

Required Educational Qualification & Relevant Experience

• Bachelor’s or Master’s in Computer Science, Computer Engineering, or related discipline from a well-known institute.

• Minimum 7 - 10 years of work experience as a developer in an IT organization (preferably Analytics / Big Data/ Data Science / AI background.