- Analyze client requirements and design customized Saviynt IGA solutions to meet their identity management needs
- Configure and implement Saviynt IGA platform features, including role-based access control, user provisioning, de-provisioning, certification campaigns, and entitlement management
- Collaborate with clients and internal stakeholders to understand business processes and translate them into effective IGA policies
- Assist in the integration of Saviynt IGA with existing identity and access management (IAM) systems, directories, and applications
- Conduct testing and troubleshooting to ensure the accuracy and effectiveness of the implemented IGA solution
Shubham Vishwakarma
Full Stack Developer - Averlon
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Profile - Databricks Developer
Experience- 5+ years
Location- Bangalore (On site)
PF & BGV is Mandatory
Job Description: -
* Design, build, and optimize data pipelines and ETL/ELT workflows using Databricks and Apache Spark (PySpark).
* Develop scalable, high performance data solutions using Spark distributed processing.
* Lead engineering initiatives focused on automation, performance tuning, and platform modernization.
* Implement and manage CI/CD pipelines using Git-based workflows and tools such as GitHub Actions or Jenkins.
* Collaborate with cross-functional teams to translate business needs into technical solutions.
* Ensure data quality, governance, and security across all processes.
* Troubleshoot and optimize Spark jobs, Databricks clusters, and workflows.
* Participate in code reviews and develop reusable engineering frameworks.
* Should have knowledge of utilizing AI tools to improve productivity and support daily engineering activities.
* Strong knowledge and hands-on experience in Databricks Genie, including prompt engineering, workspace usage, and automation
. Required Skills & Experience:
* 5+ years of experience in Data Engineering or related fields.
* Strong hands-on expertise in Databricks (notebooks, Delta Lake, job orchestration).
* Deep knowledge of Apache Spark (PySpark, Spark SQL, optimization techniques).
* Strong proficiency in Python for data processing, automation, and framework development.
* Strong proficiency in SQL, including complex queries, performance tuning, and analytical functions.
* Strong knowledge of Databricks Genie and leveraging it for engineering workflows.
* Strong experience with CI/CD and Git-based development workflows. * Proficiency in data modeling and ETL/ELT pipeline design.
* Experience with automation frameworks and scheduling tools.
* Solid understanding of distributed systems and big data concepts
Amazon Web Services (AWS)
PythonSENIOR DATA ENGINEER:
ROLE SUMMARY:
Own the design and delivery of petabyte-scale data platforms and pipelines across AWS and modern Lakehouse stacks. You’ll architect, code, test, optimize, and operate ingestion, transformation, storage, and serving layers. This role requires autonomy, strong engineering judgment, and partnership with project managers, infrastructure teams, testers, and customer architects to land secure, cost-efficient, and high-performing solutions.
RESPONSIBILITIES:
- Architecture and design: Create HLD/LLD/SAD, source–target mappings, data contracts, and optimal designs aligned to requirements.
- Pipeline development: Build and test robust ETL/ELT for batch, micro-batch, and streaming across RDBMS, flat files, APIs, and event sources.
- Performance and cost tuning: Profile and optimize jobs, right-size infrastructure, and model license/compute/storage costs.
- Data modeling and storage: Design schemas and SCD strategies; manage relational, NoSQL, data lakes, Delta Lakes, and Lakehouse tables.
- DevOps and release: Establish coding standards, templates, CI/CD, configuration management, and monitored release processes.
- Quality and reliability: Define DQ rules and lineage; implement SLA tracking, failure detection, RCA, and proactive defect mitigation.
- Security and governance: Enforce IAM best practices, retention, audit/compliance; implement PII detection and masking.
- Orchestration: Schedule and govern pipelines with Airflow and serverless event-driven patterns.
- Stakeholder collaboration: Clarify requirements, present design options, conduct demos, and finalize architectures with customer teams.
- Leadership: Mentor engineers, set FAST goals, drive upskilling and certifications, and support module delivery and sprint planning.
REQUIRED QUALIFICATIONS:
- Experience: 15+ years designing distributed systems at petabyte scale; 10+ years building data lakes and multi-source ingestion.
- Cloud (AWS): IAM, VPC, EC2, EKS/ECS, S3, RDS, DMS, Lambda, CloudWatch, CloudFormation, CloudTrail.
- Programming: Python (preferred), PySpark, SQL for analytics, window functions, and performance tuning.
- ETL tools: AWS Glue, Informatica, Databricks, GCP DataProc; orchestration with Airflow.
- Lakehouse/warehousing: Snowflake, BigQuery, Delta Lake/Lakehouse; schema design, partitioning, clustering, performance optimization.
- DevOps/IaC: Terraform with 15+ years of practice; CI/CD (GitHub Actions, Jenkins) with 10+ years; config governance and release management.
- Serverless and events: Design event-driven distributed systems on AWS.
- NoSQL: 2–3 years with DocumentDB including data modeling and performance considerations.
- AI services: AWS Entity Resolution, AWS Comprehend; run custom LLMs on Amazon SageMaker; use LLMs for PII classification.
NICE-TO-HAVE QUALIFICATIONS:
- Data governance automation: 10+ years defining audit, compliance, retention standards and automating governance workflows.
- Table and file formats: Apache Parquet; Apache Iceberg as analytical table format.
- Advanced LLM workflows: RAG and agentic patterns over proprietary data; re-ranking with index/vector store results.
- Multi-cloud exposure: Azure ADF/ADLS, GCP Dataflow/DataProc; FinOps practices for cross-cloud cost control.
OUTCOMES AND MEASURES:
- Engineering excellence: Adherence to processes, standards, and SLAs; reduced defects and non-compliance; fewer recurring issues.
- Efficiency: Faster run times and lower resource consumption with documented cost models and performance baselines.
- Operational reliability: Faster detection, response, and resolution of failures; quick turnaround on production bugs; strong release success.
- Data quality and security: High DQ pass rates, robust lineage, minimal security incidents, and audit readiness.
- Team and customer impact: On-time milestones, clear communication, effective demos, improved satisfaction, and completed certifications/training.
LOCATION AND SCHEDULE:
● Location: Outside US (OUS).
● Schedule: Minimum 6 hours of overlap with US time zones.
Location: Bangalore
Experience: 2–3 years
Type: Full-time | On-site
Open Roles: 1
Start: Immediate
Why this role exists
Most teams treat QA as the last step.
That’s why bugs reach production.
We are building AI agents where failures are:
- Visible to customers
- Hard to debug
- Expensive to fix
This role exists to ensure:
- Bugs are caught before production
- Releases are safe and predictable
- Teams can ship fast without fear
What you’ll do
You will not just test features.
You will build the system that guarantees quality.
1. Build an automated regression system
- Create a test suite that catches 90%+ of conversation quality issues before release
- Cover:
- Conversation flows
- Edge cases
- Multilingual behavior
- Ensure regression testing is:
- Fast
- Reliable
- Mandatory before deployment
2. Own conversation test harness
- Build a system to simulate:
- Real user conversations
- Edge cases
- Failure scenarios
- Enable teams to:
- Test workflows quickly
- Validate changes before release
- Make daily releases safe and repeatable
3. Reduce production incidents
- Bring P1 incidents down to <1 per account per month, even at 5x scale
- Identify:
- Root causes
- Recurring failure patterns
- Ensure issues are fixed permanently, not patched temporarily
4. Define quality standards
- Establish clear definitions of:
- What is a bug
- What is acceptable quality
- Create:
- QA benchmarks
- Release gates
- Ensure quality is measurable, not subjective
5. Enable fast and safe releases
- Work closely with:
- Engineering
- Product
- Conversation design
- Ensure:
- Testing does not slow down shipping
- Shipping does not compromise quality
6. Move toward zero-bug production mindset
- Build systems where:
- Bugs are rare
- Failures are predictable
- Drive a culture where:
- Quality is owned by everyone
- QA enables, not blocks
What success looks like
- ≥ 90% of bugs caught before production
- P1 incidents drop to <1 per account per month
- Teams can ship daily without fear
- Conversation quality remains consistent at scale
- Production issues become rare and predictable
Who you are
- You have 2-3 years of experience in QA / testing / automation
- You have built:
- Automated test systems
- Regression suites
- You think in:
- Systems
- Failure modes
- You care about:
- Quality
- Reliability
- Real-world performance
What will make you stand out
- Experience testing:
- Conversational systems
- AI / chatbot / voice systems
- Strong understanding of:
- Automation frameworks
- API testing
- End-to-end testing
- Ability to:
- Design test strategies, not just execute them
Why join
- You will define quality standards for an AI platform
- Your work directly impacts:
- Customer experience
- Reliability
- Product trust
- You will move the system from:
- Reactive QA → predictive quality systems
What this role is not
- Not manual testing only
- Not a release blocker
- Not reactive bug reporting
What this role is
- A builder of quality systems
- A guardian of production reliability
- A multiplier of engineering confidence
One question to self-evaluate
Can you build a testing system where bugs are caught before users ever see them?
Key Responsibilities:
• Salesforce Administration:
o Manage user setup, roles, profiles, security settings, and permissions.
o Configure and maintain custom objects, record types, fields, page layouts, workflows, process builders, and validation rules.
o Perform regular data management tasks including data import, export, deduplication, and cleaning.
o Ensure platform stability and performance with regular system maintenance.
• Salesforce Development:
o Design and implement custom solutions using Apex, Visualforce, Lightning Components (LWC and AURA), and SOQL
o Develop and integrate APIs to connect Salesforce with other systems.
o Automate processes with Flow Builder, Process Builder, and custom code.
o Optimize Salesforce instance through custom development for better performance and scalability.
• System Enhancements:
o Identify opportunities for automation, efficiency, and improved data quality.
o Implement third-party apps from AppExchange as required.
o Stay up-to-date with Salesforce releases and ensure smooth implementation of new features.
Now Hiring: Tableau Developer (Banking Domain) 🚀
We’re looking for a 6+ years experienced Tableau pro to design and optimize dashboards for Banking & Financial Services.
🔹 Design & optimize interactive Tableau dashboards for large banking datasets
🔹 Translate KPIs into scalable reporting solutions
🔹 Ensure compliance with regulations like KYC, AML, Basel III, PCI-DSS
🔹 Collaborate with business analysts, data engineers, and banking experts
🔹 Bring deep knowledge of SQL, data modeling, and performance optimization
🌍 Location: Remote
📊 Domain Expertise: Banking / Financial Services
✨ Preferred experience with cloud data platforms (AWS, Azure, GCP) & certifications in Tableau are a big plus!
Bring your data visualization skills to transform banking intelligence & compliance reporting.
Vue.js
AngularJS (1.x)
Angular (2+)
React.js
JavascriptIf you are highly passionate about creating prosperity, problem-solving, working with a purpose, and building a large brand, then this is the opportunity to make it the next big thing.
About Company
Good Good Piggy is a young start-up. In the first six months not only we reached Shark Tank, but also were pegged as Next Leader 2021 by Start up Review. The start-up is popularly aligned with BFSI network as well as the Education sphere, with a potential to expand in both industries.
‘Good Good Piggy’ is an Ed-FinTech start-up that encourages the new generation to
develop the life-skill of managing the entire money management equation digitally,
because the future of money is digital. We recognize the importance of reinforcing
good behaviour, habits and skills from a young age.
Backed by Favcy, Openbook VC, 1st Cheque, AWAKE, Women in Tech India, Power Angels Network, Mohali Angels, North Campus Angels
What's in it for you?
We understand that you can only crack a successful minimum viable product - by arriving at a minimum viable brand positioning and minimum viable growth. Yes in 1 year, we have all three checked and are now planning for our launch! We have customers waiting for the product as well as industry aligned to make it work! All we need is you to come in and close the gaps!
As a team member in Good Good Piggy, you will obsess to make sure we are up speed in technology. Joining the team means you will be responsible to create an ecosystem of talented folks who make the founding and/or extended teams. You should be at ease switching between the big-picture architecture mode and the get-hands-dirty detail-orientated mundane work mode to service our innovative customer proposition.
Job Description
We are looking for a Node.js Developer responsible for managing the interchange of
data between the server and the users. Your primary focus will be the development
of all server-side logic, definition, and maintenance of the central database, and
ensuring high performance and responsiveness to requests from the front-end. You
will also be responsible for integrating the front-end elements built by your co-
workers into the application. Therefore, a basic understanding of front-end
technologies is necessary as well.
Total Experience: 3 to 7 Years
Notice Period: 30-45 Days
Preferred Location: Delhi NCR
Role: Full Stack Developer
Industry Type: Ed-FinTech
Employment Type: Full Time, Permanent
Role Category: Software Development
Responsibilities
Expertise in designing back-end applications with Node.js
Experience in design and development of Full Stack applications using one or
more JS frameworks like ReactJS.
Setup/configure CI/CD pipeline leveraging AWS native services or traditional
tools (e.g. Jenkins, GitHub, Artifactory, SonarQube, etc)
Deploy applications on AWS platform leveraging AWS platform services like
EC2, EBS, S3, Code Artifact etc
Strong coding, data structures and algorithms skills
Maintain and configure MongoDB instances
Implementation of security and data protection
Skills And Qualifications
Must have worked in NodeJS
Good knowledge of JavaScript, CSS and HTML is a must.
Should have worked on ReactJS class-based and functional concepts
Knowledge of framework like NextJS, NestJs is an added advantage
Should be good at understanding project requirement and communication
skills
Experience developing desktop and mobile applications.
Understanding accessibility and security compliance
User authentication and authorization between multiple systems, servers, and environments
Working with Agile framework especially is necessary
Organizational and leadership abilities
Excellent communication skills
Problem-solving aptitude
Education
B.Tech/B.E./MCA or Equivalent
Person Fitment
A people person
Excellent attention to detail
Passionate about technology, with a general thirst for digital knowledge
Bright, motivated and driven
Positive thinker, with a can-do attitude
Reliable, flexible and cooperative
Honest and trustworthy
Candidate fit enhances when you show: Good understanding of/experience in building Neo-Banking/Education/Parenting Platforms.
Renumeration range: The compensation will also include a monthly salary based on discussion.
Benefits: When you join us, you get to share the vibe of working yet exploring off-beat India in the "Work from Anywhere" model as Founding Team Members. Secondly, we encourage Learning & Training with credits that can be utilised monthly. Not just that, we shall push you to have International mentorship so you are always upbeat in the market. What else? Feel free to suggest!
JD:
Cloud Technical
Total Exp 4-9 Yrs
Cloud Technical
Need minimum4+ years of experience person in Oracle apps and 2+ year in cloud
Modules - AP PO GL FA
Expertise in BI reports/OTBI/FBDI/Personalization,
Excellent in SQL and PL/SQL
PHP
Laravel
jQueryProfile: PHP Developer
No of Positions: 6
Experience; Fresher to 3 Years
Skills: For Freshers : Php, Mysql, Jquery, Oops concepts shoul be clear
For Experienced: PHP, Laravel, C.I any Framework required
Salary: Best in Industry
Note: Internship with stipend will be provided for freshers
Working Days ; 5
Working Hours: 9 am to 6 Pm Flexible
Job Location ; Mohali Phase 8A, 8B
Work From Office
Android Development
Kotlin
Java- 3-5 years of experience in Native Android App development (Preferably for a B2C Product)
- Proficiency in various algorithms and data structures.
- Familiar with Kotlin/Java language, and experience with Object-Oriented Design.
- Strong experience with REST APIs, storage databases, Multi-threading, performance and memory tuning.
- Good knowledge of architectural patterns such as MVP and MVVM.
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Full Stack Developer - Averlon