Python Developer

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

Strong Experience across Applications Migration to Cloud, Cloud native Architecture, Amazon EKS, Serverless (Lambda).​

Delivery of customer Cloud Strategies aligned with customers business objectives and with a focus on Cloud Migrations and App Modernization.​

Design of clients Cloud solutions with a focus on AWS.​

Undertake short-term delivery engagements related to cloud architecture with a specific focus on AWS and Cloud Migrations/Modernization.​

Provide leadership in migration and modernization methodologies and techniques including mass application movements into the cloud.​

Implementation of AWS within in large regulated enterprise environments.​

Nurture Cloud computing expertise internally and externally to drive Cloud Adoption.​

Work with designers and developers in the team to guide them through the solution implementation.​

Job Description

This requirement is to service our client which is a leading big data technology company that measures what viewers consume across platforms to enable marketers make better advertising decisions. We are seeking a Senior Data Operations Analyst to mine large-scale datasets for our client. Their work will have a direct impact on driving business strategies for prominent industry leaders. Self-motivation and strong communication skills are both must-haves. Ability to work in a fast-paced work environment is desired.

Problems being solved by our client: 

Measure consumer usage of devices linked to the internet and home networks including computers, mobile phones, tablets, streaming sticks, smart TVs, thermostats and other appliances. There are more screens and other connected devices in homes than ever before, yet there have been major gaps in understanding how consumers interact with this technology. Our client uses a measurement technology to unravel dynamics of consumers’ interactions with multiple devices.

Duties and responsibilities:

• The successful candidate will contribute to the development of novel audience measurement and demographic inference solutions. 
• Develop, implement, and support statistical or machine learning methodologies and processes. 

• Build, test new features and concepts and integrate into production process
• Participate in ongoing research and evaluation of new technologies
• Exercise your experience in the development lifecycle through analysis, design, development, testing and deployment of this system
• Collaborate with teams in Software Engineering, Operations, and Product Management to deliver timely and quality data. You will be the knowledge expert, delivering quality data to our clients

Qualifications:

• 3-5 years relevant work experience in areas as outlined below
• Experience in extracting data using SQL from large databases
• Experience in writing complex ETL processes and frameworks for analytics and data management. Must have experience in working on ETL tools.

• Master’s degree or PhD in Statistics, Data Science, Economics, Operations Research, Computer Science, or a similar degree with a focus on statistical methods. A Bachelor’s degree in the same fields with significant, demonstrated professional research experience will also be considered. 
• Programming experience in scientific computing language (R, Python, Julia) and the ability to interact with relational data (SQL, Apache Pig, SparkSQL). General purpose programming (Python, Scala, Java) and familiarity with Hadoop is a plus.  
• Excellent verbal and written communication skills. 
• Experience with TV or digital audience measurement or market research data is a plus. 
• Familiarity with systems analysis or systems thinking is a plus. 

• Must be comfortable with analyzing complex, high-volume and high-dimension data from varying sources
• Excellent verbal, written and computer communication skills
• Ability to engage with Senior Leaders across all functional departments
• Ability to take on new responsibilities and adapt to changes

• Developing a deep understanding of our vast data sources on the web and knowing exactly how, when, and which data to scrap, parse and store
• Working closely with Database Administrators to store data in SQL and NoSQL databases
• Developing frameworks for automating and maintaining constant flow of data from multiple sources
• Working independently with little supervision to research and test innovative solutions skills

Desired Candidate Profile

• Bachelor/ Master’s degree in Computer science/ Computer Engineering/ Information Technology
• 1 - 5 years of relevant experience
• Strong coding experience in Python (knowledge of Java, JavaScript is a plus)
• Experience with SQL and NoSQL databases
• Experience with multi-processing, multi-threading, and AWS/Azure
• Strong knowledge of scraping frameworks such as Python (Request, Beautiful Soup), Web Harvest and others
• In depth knowledge of algorithms and data structures & previous experience with web crawling is a must