Risk Resources LLP hyd

Key Skills/Knowledge:

• Strong PowerCenter experience.
• Certification in IICS-IDQ
• 3+ years of Strong experience in IICS-IDQ platform related work.
• Good experience of IICS-IDQ variables and performance tuning.
• Strong coding experience with IICS-IDQ
• Strong communication skills and ability to work with ambiguity.
• Able to provide direction/support to more junior analysts
• Strong architectural knowledge for data analytics systems patterns and their pros and cons
• Strong knowledge of data quality, metadata management, security frameworks / tools implemented for data on cloud architecture
• Strong skills on defining data strategy and architecture based on industry standard frameworks / best practices
• Skillful resource to understand customer needs,and provide apt solutions to cater those needs (current and futuristic).

Experience required:

Must have experience

• Strong PowerCenter experience.
• Certification in IICS-IDQ
• 3+ years of Strong experience in IICS-IDQ platform related work.
• Good experience of IICS variables and performance tuning.
• Strong coding experience with IICS-IDQ
• Strong communication skills and ability to work with ambiguity.
• Able to provide direction/support to more junior analysts
• Strong architectural knowledge for data analytics systems patterns and their pros and cons
• Strong knowledge of data quality, metadata management, security frameworks / tools implemented for data on cloud architecture
• Strong skills on defining data strategy and architecture based on industry standard frameworks / best practices
• Skillful resource to understand customer needand provide apt solutions to cater those needs (current and futuristic).

What we need to see:

·        Experience and Knowledge of IICS-IDQ platform along with PowerCenter.

Good to have experience:

·        Certifications: PowerCenter &IICS-IDQ

Desired Competencies (Technical/Behavioral Competency)

Must-Have

1. Hands-on knowledge in machine learning, deep learning, TensorFlow, Python, NLP
2. Stay up to date on the latest AI emergences relevant to the business domain.
3. Conduct research and development processes for AI strategies.

4.     Experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.

5.     Experience with transformer models such as BERT, GPT, RoBERTa, etc, and a solid understanding of their underlying principles is a plus

Good-to-Have

1. Have knowledge of software development methodologies, such as Agile or Scrum
2. Have strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.
3. Have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face
4. Ensure the quality of code and applications through testing, peer review, and code analysis.
5. Root cause analysis and bugs correction
6. Familiarity with version control systems, preferably Git.
7. Experience with building or maintaining cloud-native applications.
8. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud is Plus

Design and implement scalable and efficient data architectures to support generative AI workflows.

2 Fine tune and optimize large language models (LLM) for generative AI, conduct performance evaluation and benchmarking for LLMs and machine learning models

3 Apply prompt engineer techniques as required by the use case

4 Collaborate with research and development teams to build large language models for generative AI use cases, plan and breakdown of larger data science tasks to lower-level tasks

5 Lead junior data engineers on tasks such as design data pipelines, dataset creation, and deployment, use data visualization tools, machine learning techniques, natural language processing , feature engineering, deep learning , statistical modelling as required by the use case.

3+ years’ experience as Python Developer / Designer and Machine learning 2. Performance Improvement understanding and able to write effective, scalable code 3. security and data protection solutions 4. Expertise in at least one popular Python framework (like Django, Flask or Pyramid) 5. Knowledge of object-relational mapping (ORM) 6. Familiarity with front-end technologies (like JavaScript and HTML5

Test Automation Engineer Job Description

A Test Automation Engineer is responsible for designing, developing, and implementing automated testing solutions to ensure the quality and reliability of software applications. Here's a breakdown of the job:

Key Responsibilities

- Test Automation Framework: Design and develop test automation frameworks using tools like Selenium, Appium, or Cucumber.

- Automated Test Scripts: Create and maintain automated test scripts to validate software functionality, performance, and security.

- Test Data Management: Develop and manage test data, including data generation, masking, and provisioning.

- Test Environment: Set up and maintain test environments, including configuration and troubleshooting.

- Collaboration: Work with cross-functional teams, including development, QA, and DevOps to ensure seamless integration of automated testing.

Essential Skills

- Programming Languages: Proficiency in programming languages like Java, Python, or C#.

- Test Automation Tools: Experience with test automation tools like Selenium,.

- Testing Frameworks: Knowledge of testing frameworks like TestNG, JUnit, or PyUnit.

- Agile Methodologies: Familiarity with Agile development methodologies and CI/CD pipelines.

Adobe Experience Manager (AEM) Developer Job Description

An AEM Developer is responsible for designing, developing, and implementing digital experiences using Adobe Experience Manager (AEM). Here's a breakdown of the job:

Key Responsibilities

- AEM Development: Develop and implement AEM components, templates, and workflows to meet business requirements.

- Content Management: Work with content authors to design and implement content management solutions using AEM.

- Component Development: Develop custom AEM components, including Sightly/HTL, Java, and JavaScript.

- Integration: Integrate AEM with other Adobe Marketing Cloud products or third-party systems.

- Troubleshooting: Identify and resolve issues with AEM applications, including debugging and performance optimization.

Essential Skills

- AEM Expertise: Strong understanding of AEM architecture, including AEM Sites, Assets, and Forms.

- Sightly/HTL: Experience with Sightly/HTL templating language.

- Java: Knowledge of Java programming language for AEM development.

- OSGi: Understanding of OSGi framework and its application in AEM.

- Content Management: Familiarity with content management principles and best practices.

Requirement Summary

•       4 to 10 years of experience inPython Developer

•       Have good communication skills

•       High energy and self-motivated professional with the ability to make things happen and adhere to strict deadlines

Mandatory Technical Skills

·        Should have strong software development experience, not necessarily in Python. Candidates with good experience software development with most of their experience in technologies like C# or Java if not entirely in Python but with minimum 3+ year experience in Python as developer.

·        Resources should have exposure to core python, design principles, OPPS concepts (classes, methods, decorators), data structure concepts & uses of relevant packages (numpy, pandas, etc.), testing (Pytest ) frameworks(TDD/BDD), cloud concepts(CI/CD), DB uses(SQL mainly), application security awareness, code quality checks, etc.

Responsibility of / Expectations from the Role

·        Developer efficient reusable codes towards model implementation

·        Participate in Agile Ceremony’s

·        Present the analysis outcome and performance to business and support adhoc analysis as required

• Design, develop, and maintain data pipelines and ETL workflows on AWS platform
• Work with AWS services like S3, Glue, Lambda, Redshift, EMR, and Athena for data ingestion, transformation, and analytics
• Collaborate with Data Scientists, Analysts, and Business teams to understand data requirements
• Optimize data workflows for performance, scalability, and reliability
• Troubleshoot data issues, monitor jobs, and ensure data quality and integrity
• Write efficient SQL queries and automate data processing tasks
• Implement data security and compliance best practices
• Maintain technical documentation and data pipeline monitoring dashboards

Desired Competencies (Technical/Behavioral Competency)

• . Strong knowledge of Splunk architecture, components, and deployment models (standalone, distributed, or clustered)
• Hands-on experience with Splunk forwarders, search processing, and index clustering
• Proficiency in writing SPL (Search Processing Language) queries and creating dashboards
• Familiarity with Linux/Unix systems and basic scripting (e.g., Bash, Python)
• Understanding of networking concepts and protocols (TCP/IP, syslog)

Key Responsibilities

• Deploy Splunk Enterprise or Splunk Cloud on servers or virtual environments.
• Configure indexing and search head clusters for data collection and search functionalities.
• Deploy universal or heavy forwarders to collect data from various sources and send it to the Splunk environment
• Configure data inputs (e.g., syslogs, snmp, file monitoring) and outputs (e.g., storage, dashboards)
• Identify and onboard data sources such as logs, metrics, and events.
• Use regular expressions or predefined methods to extract fields from raw data
• Configure props.conf and transforms.conf for data parsing and enrichment.
• Create and manage indexes to organize and control data storage.
• Configure roles and users with appropriate permissions using role-based access control (RBAC).
• Integrate Splunk with external authentication systems like LDAP, SAML, or Active Directory
• Monitor user activities and changes to the Splunk environment
• Optimize Splunk for better search performance and resource utilization
• Regularly monitor the status of indexers, search heads, and forwarders
• Configure backups for configurations and indexed data
• Diagnose and resolve issues like data ingestion failures, search slowness, or system errors.
• Install and manage apps and add-ons from Splunkbase or custom-built solutions.
• Create python scripts for automation and advanced data processing.
• Integrate Splunk with ITSM tools (e.g., ServiceNow), monitoring tools, or CI/CD pipelines.
• Use Splunk's REST API for automation and custom integrations
• Good to have Splunk Core Certified Admin certification

Splunk Development and Administration

• Build and optimize complex SPL (Search Processing Language) queries for dashboards, reports, and alerts.
• Develop and manage Splunk apps and add-ons, including custom Python scripts for data ingestion and enrichment.
• Onboard and validate data sources in Splunk, ensuring proper parsing, indexing, and field extractions.

Collaborate with stakeholders to define project requirements and objectives

Design, develop, and maintain new software applications from scratch using C#, ASP.NET, and AngularJS

Hands on experience & In-depth working knowledge on SQL Server 2012 / 2014 with TSQL/SSIS/SSRS

Experience on Microsoft technologies, along with good understanding of JQUERY, OOPS concepts, design patterns with TFS/SVN practices.

Work closely with other developers and project managers to ensure timely delivery of projects

Write clean, scalable, and maintainable code that adheres to coding standards

Participate in code reviews and maintain documentation for all development work

Troubleshoot and debug issues as they arise

Stay up-to-date with emerging trends and technologies in software development