Senior Data Analyst

Responsibilities:

•Design, develop, and implement integration solutions using Oracle Integration Cloud (OIC).

•Collaborate with business analysts and stakeholders to understand integration requirements and translate them into technical specifications.

•Develop and maintain integration interfaces between various on-premises and cloud applications.

•Troubleshoot and resolve integration issues in a timely manner.

•Perform unit testing and support user acceptance testing (UAT) to ensure high-quality deliverables.

•Document integration processes, configurations, and best practices.

Qualifications:

• Proven experience as an Oracle Integration Cloud Developer or similar role.

• Strong knowledge of Oracle Integration Cloud (OIC) components and capabilities.

• Proficiency in designing and developing integrations using OIC, including REST and SOAP APIs, file-based integrations, and orchestration.

• Experience in PLSQL, working with Datahub concept is highly preferable.

• Strong understanding of HCM Extracts and BI Publisher.

• Experience working with various authentication mechanisms, protecting data at rest and data in transit.

• Familiarity with integration patterns, data mapping, and transformation techniques.

• Familiarity with CI/CD pipeline and Git for version control

• Strong communication and collaboration skills.

Preferred Qualifications:

• 4 plus years of Oracle Integration Cloud certification.

• Experience with other integration platforms and tools.

•Knowledge of Oracle ERP Cloud, HCM Cloud, EPM or other Oracle applications.

What You’ll Be Doing:

● Own the architecture and roadmap for scalable, secure, and high-quality data pipelines

and platforms.

● Lead and mentor a team of data engineers while establishing engineering best practices,

coding standards, and governance models.

● Design and implement high-performance ETL/ELT pipelines using modern Big Data

technologies for diverse internal and external data sources.

● Drive modernization initiatives including re-architecting legacy systems to support

next-generation data products, ML workloads, and analytics use cases.

● Partner with Product, Engineering, and Business teams to translate requirements into

robust technical solutions that align with organizational priorities.

● Champion data quality, monitoring, metadata management, and observability across the

ecosystem.

● Lead initiatives to improve cost efficiency, data delivery SLAs, automation, and

infrastructure scalability.

● Provide technical leadership on data modeling, orchestration, CI/CD for data workflows,

and cloud-based architecture improvements.

Qualifications:

● Bachelor's degree in Engineering, Computer Science, or relevant field.

● 8+ years of relevant and recent experience in a Data Engineer role.

● 5+ years recent experience with Apache Spark and solid understanding of the

fundamentals.

● Deep understanding of Big Data concepts and distributed systems.

● Demonstrated ability to design, review, and optimize scalable data architectures across

ingestion.

● Strong coding skills with Scala, Python and the ability to quickly switch between them with

ease.

● Advanced working SQL knowledge and experience working with a variety of relational

databases such as Postgres and/or MySQL.

● Cloud Experience with DataBricks.

● Strong understanding of Delta Lake architecture and working with Parquet, JSON, CSV,

and similar formats.

● Experience establishing and enforcing data engineering best practices, including CI/CD

for data, orchestration and automation, and metadata management.

● Comfortable working in an Agile environment

● Machine Learning knowledge is a plus.

● Demonstrated ability to operate independently, take ownership of deliverables, and lead

technical decisions.

● Excellent written and verbal communication skills in English.

● Experience supporting and working with cross-functional teams in a dynamic

environment.

REPORTING: This position will report to Sr. Technical Manager or Director of Engineering as

assigned by Management.

EMPLOYMENT TYPE: Full-Time, Permanent

SHIFT TIMINGS: 10:00 AM - 07:00 PM IST

Project Overview

Be part of developing "Fenrir Security" - a groundbreaking autonomous security testing platform. We're creating an AI-powered security testing solution that integrates with an Electron desktop application. This contract role offers the opportunity to build cutting-edge autonomous agent technology for security testing applications.

Contract Details

• Duration: Initial 4-month contract with possibility of extension
• Work Arrangement: Remote with regular online collaboration
• Compensation: Competitive rates based on experience (₹1,00,000-₹1,80,000 monthly)
• Hours: Flexible, approximately 40 hours weekly

Role & Responsibilities

• Develop the core autonomous agent architecture for security testing
• Design and implement the agent's planning and execution capabilities
• Create natural language interfaces for security test configuration
• Build knowledge representation systems for security testing methodologies
• Implement security vulnerability detection and analysis components
• Integrate autonomous capabilities with the Electron application
• Create learning mechanisms to improve testing efficacy over time
• Collaborate with security expert to encode testing approaches
• Deliver functional autonomous testing components at regular milestones
• Participate in technical planning and architecture decisions

Skills & Experience

• 3+ years of AI/ML development experience
• Strong background in autonomous agent systems or similar AI architectures
• Experience with LLM integration and prompt engineering
• Proficiency in Python and relevant AI/ML frameworks
• Knowledge of natural language processing techniques
• Understanding of machine learning approaches for security applications (preferred)
• Ability to work independently with minimal supervision
• Strong problem-solving abilities and communication skills

Why Join Us

• Work at the cutting edge of AI and cybersecurity technology
• Flexible working arrangements and competitive compensation
• Opportunity to solve novel technical challenges
• Potential for equity or profit-sharing in future funding rounds
• Build portfolio-worthy work in an innovative field

Selection Process

1. Initial screening call
2. Technical assessment (paid task)
3. Final interview with founder
4. Contract discussion and onboarding

Requirement 1: Sr. Sales Executive ( Internal Requirement- Only Female candidates)

• Experience Required: Minimum 2 years in Direct/Perm Staffing and Contingent Staffing Sales for the USA market.
• Scadea Payroll
• Preferred Candidate: Female
• Budget: 6 LPA don’t go beyond.
• NO Cab Facility
• Shift: Night Shift (Onsite – Bangalore)
• Skills Required:
• Excellent communication skills
• Extensive experience in lead generation, cold calling, and cold emailing, US Staffing.
• Additional Criteria: Must have stayed in the same company for over a year.

Company Background:

Founded in 2016, they are one of the leading online scheduling software companies in the world, with over 200,000 customers globally. They are a profitable, high-growth bootstrapped platform-as-a-product company with 50+ team members looking to grow to $50M in revenue in the next 3 years. 

Loction: Remote (Expenses paid quarterly travel to Head Office)

About this job 

We are looking for a Senior Software Engineer with 5+ years of experience in Angular and frontend application development. You will work with a team of problem solvers working collaboratively to build custom solutions. If you are excited to learn new things and thrive in a team-based culture, and if you are looking for hyper-growth in your career then this could be a place for you! 

What will you do 

- Work with the team to break user stories into tasks and delegate them to the team members. 

- Write code that meets standard and delivery guidelines. 

- Mentor other engineers on the team to develop high-quality software (including the use of static analysis tools, Testing frameworks, and code reviews) 

- Analyze solutions and help implement engineering best practices. 

- Work with Project Managers for timely delivery and forecast. 

- Lead and mentor junior engineers on technical issues. Perform blameless RCAs when issues occur and take ownership to resolve issues. 

- Work closely with backend engineers, DevOps, and QA teams for seamless delivery.

What you should have 

- Strong experience with front-end technologies including Angular, Javascript and gRPC, RESTful APIs, etc 

- Ability to write efficient, secure, well-documented, and clean code 

- Proven ability to work with multiple teams, multitask and prioritize. 

- Experience with Git, JIRA, and Agile working methodology 

Benefits 

- Competitive compensation 

- A chance to work and contribute to company's low-code platform which is soon to be open-source. 

- Endless career opportunities and multiple paths for career development - Paid parental and maternity leave 

- Hospitalization, health, and life insurance, and accident coverage 

- Flexible hours 

- Remote working flexibility 

- Transparency and visibility throughout a fast-paced, successful growth organization 

So what happens next? 

Once we receive your application our recruitment team will go through it personally and will set up a chat to know more about your experience and interests. If we think you could be a good addition to our company, we will connect you to our team including managers so you can learn more about the life at the company and your responsibilities. We always try to give candidates a smooth onboarding experience.

•                    Ability to complete all phases of software development life cycle including analysis, design, functionality, testing and support

•                    Proven experience with Microsoft .NET technologies including, .Net Core, ASP.NET, ADO.NET

•                    Proficiency in Web API Creation and RESTful services with CRUD Operations(.Net Framework/.Net Core).

•                    Strong in Jquery/javascrpit/CSS/Bootstrap

•                    Familiarity with architecture styles/APIs (REST, RPC)

•                    Knowledge of Design/architectural patterns (e.g. MVC)

•                    Understanding of Agile methodologies

•                    Working knowledge of Entity Framework

•                    Hands on experience of JSON, XML, Web API 2, Entity Framework

•                    Hands on experience of PostgreSQL/SQL Server or similar databases

•                    Working knowledge of Angular JS/ React using .net platform is a plus

•                    Need to be willing to work in a start-up environment

•                    ​Ability to work independently and pickup new skills on the go

•                    Have a good sense of ownership and attitude to solve by extending help to other teams

• Should be well versed with Data Structures & algorithms
•  Understanding of software development lifecycle
•  Excellent analytical and problem-solving skills.
•  Ability to work independently as a self-starter, and within a team environment.
•  Good Communication skills- Written and Verbal

• Back-end software development
• Software engineering and designing data models and write effective APIs
• Working together with engineers and product teams
• Understanding business use cases and requirements for different internal teams
• Maintenance of existing projects and New feature development
• Consume and integrate classifier/ ML snippets from Data science team

What we are looking for:

• 2+ years of industry experience with the Python and Django framework.
• Degree in Computer Science or related field
• Good analytical skills with strong fundamentals of data structures and algorithms
• Experience building backend services with hands-on experience through all stages of Agile software development life cycle. 
• Ability to write optimized codes,debug programs, and integrate applications with third party tools by developing various APIs
• Experience with Databases.
• Experience with writing REST-APIs.
• Prototyping initial collection and leveraging existing tools and/or creating new tools
• Experience working different types of datasets (e.g. unstructured, semi-structured, with missing information)
• Ability to think critically and creatively in a dynamic environment, while picking up new tools and domain knowledge along the way
• A positive attitude, and a growth mindset

Bonus:

• Experience with relevant Python libraries such as Requests, sklearn, Selenium
• Hands on experience in Machine learning implementations
• Experience with Cloud infrastructure (e.g. AWS) and relevant microservices
• Good Humor