INFOPARK

Government Tender Specialist – Kerala

Role Overview

The Government Tender Specialist will be responsible for identifying, evaluating, preparing, and submitting government tenders and RFPs related to IT, software development, digital transformation, websites, mobile applications, CRM systems, AI solutions, cloud services, and technology consulting projects.

The ideal candidate should possess hands-on experience working with Kerala Government departments, public sector undertakings (PSUs), local self-government institutions, universities, and procurement portals.

Key Responsibilities:

>Tender Identification & Opportunity Management
- Monitor and identify relevant tender opportunities through:
1. Kerala e-Tender Portal
2. GeM (Government e-Marketplace)
3. Government departments and agencies
4. Universities and educational institutions
5. Smart City and digital transformation initiatives
6. Public sector undertakings (PSUs)
- Maintain a pipeline of upcoming tenders and opportunities.
- Analyze eligibility criteria and bid requirements.
- Evaluate tender viability and recommend participation.

> Bid Preparation & Submission
- Prepare and coordinate complete tender submissions.
- Review RFPs, RFQs, EOIs, and tender documents.
- Develop compliance matrices and bid checklists.
- Coordinate with technical, design, finance, and management teams for proposal preparation.
- Compile technical, commercial, and legal documentation.
- Ensure timely submission through online procurement portals.

> Documentation & Compliance
- Maintain updated company documentation including:
1. Company profiles
2. Project portfolios
3. Case studies
4. Financial statements
5. Certifications
6. Experience credentials
- Track EMDs, bid securities, performance guarantees, and contractual requirements.
- Ensure compliance with all tender conditions and eligibility requirements.

> Government & Stakeholder Coordination
- Liaise with government departments and procurement authorities.
- Attend pre-bid meetings and clarification sessions.
- Coordinate responses to tender-related queries.
- Track corrigenda, amendments, and bid notifications.

> Reporting & Analytics
- Maintain tender tracking reports.
- Monitor bid outcomes and success rates.
- Conduct competitor and market analysis.
- Provide management with regular updates on opportunities and submissions.

Required Qualifications:

> Bachelor's degree in Business Administration, Engineering, Information Technology, Commerce, or related field.
> Minimum 3 years of experience in government tendering and bid management.
> Experience working with Kerala Government procurement processes.
> Strong understanding of IT and software project tenders.
> Familiarity with GeM and e-procurement platforms.
> Excellent written and verbal communication skills.
> Strong documentation and proposal-writing abilities.

Preferred Qualifications:

> Experience handling technology-related tenders involving:
- Software Development
- Mobile Applications
- Website Development
- CRM Solutions
- AI & Automation Projects
- Cloud Services
- Digital Transformation Projects
> Existing network within Kerala Government departments, PSUs, universities, or technology procurement teams.
> Understanding of government contracting and procurement regulations.

Key Skills:

> Tender Management
> Bid Management
> Proposal Writing
> Government Procurement
> GeM Portal Operations
> Kerala e-Tender Portal
> Documentation & Compliance
> Stakeholder Management
> Contract Review
> Market Research
> Microsoft Office Suite
> Project Coordination

Success Metrics:

> Number of qualified tenders identified.
> Bid submission accuracy and compliance.
> Tender win rate.
> Value of projects secured.
> Timely completion of tender submissions.
> Growth of government-sector business opportunities.

Why Join Us?

> Opportunity to work on impactful government technology projects.
> Exposure to digital transformation initiatives across Kerala.
> Collaborative and innovation-driven work environment.
> Career growth within a rapidly expanding technology company.
> Competitive compensation and performance-based incentives.

Interested candidates should have demonstrable experience in successfully managing and submitting government tenders, particularly within the IT, software, and digital services sectors.

Junior Python Developer (Django)

We are looking for strong, self-directed junior developers who are confident in their skills, yet open to learning and eager to take on new and interesting challenges.

Experience: 2+ years

Role and Responsibilities:

- Collaborate with the product team to build and scale our applications.
- Develop and maintain features using Python, Django, HTML, and CSS.
- Assist in designing and implementing microservices-based applications.
- Deploy and manage web applications in Linux environments.
- Debug, troubleshoot, and resolve technical issues.
- Work with the team to brainstorm and deliver new features.
- Support team growth by participating in knowledge sharing and collaboration.
- Translate business requirements into effective technical solutions.
- Stay updated with modern development practices and follow project timelines.
- Write clean, maintainable, and extensible code.

Required Skills:

- Proficiency in Python and Django.
- Experience with Relational Databases.
- Understanding of Web Services (REST APIs, etc.).
- Hands-on knowledge of Git and version control.
- Strong grasp of software design principles with focus on maintainability and scalability.

Nice to Have:

- Experience with Node.js
- Experience with React
- Familiarity with the Elastic Stack

dbt Developer (AWS Data Lake Program · Healthcare Domain)

ABOUT THE ROLE

We are looking for two hands-on dbt Developers with deep, production-proven experience across the full dbt ecosystem. This is not a querying or reporting role — we need engineers who have built and owned dbt projects end-to-end in complex data environments. You will be the primary owner of the transformation layer in our AWS-based Healthcare Data Lake, responsible for modelling, testing, documentation, and semantic layer design across Member, Claims, Provider, and Clinical domains.

Important: Candidates must be willing to complete dbt Certification within 1 month of joining. Theoretical knowledge alone will not be sufficient — we require demonstrated production experience across all areas of the dbt ecosystem listed below.

KEY RESPONSIBILITIES

1. Data Modelling:
• Design and build modular, layered dbt models across Bronze / Silver / Gold (Medallion) architecture for healthcare domains: Member, Provider, Claims, Clinical, and Pharmacy.
• Apply dimensional modelling principles (Star Schema, Data Vault 2.0) to create analytics-ready data marts.
• Implement incremental materialization strategies (incremental, table, view, ephemeral) to optimize performance and cost.
• Define and enforce naming conventions, folder structure, and model hierarchy standards across the dbt project.
• Collaborate with Data Architects to ensure logical and physical models align with the enterprise data model.

2. Testing & Data Quality:
• Implement comprehensive dbt auto-testing frameworks: built-in generic tests (not_null, unique, accepted_values, relationships) and custom singular tests.
• Integrate dbt-expectations for advanced, data-quality assertions (row count checks, column-level distributions, regex patterns, freshness thresholds).
• Define and enforce data SLAs through source freshness tests and automated alerting.
• Build test coverage dashboards and maintain minimum test coverage standards across all models.
• Triage and resolve data quality failures in CI/CD pipelines; document root-cause findings.

3. Snapshots:
• Design and implement dbt Snapshots to track slowly changing dimensions (SCDs) for Member eligibility, Provider rosters, and Plan configurations.
• Define appropriate snapshot strategies (timestamp vs. check) based on source system characteristics.
• Manage snapshot history tables; ensure accurate historization for compliance and audit requirements.
• Validate snapshot integrity across dbt runs; handle late-arriving data and out-of-order records.

4. Macros & Jinja Templating:
• Write reusable dbt macros using Jinja2 to encapsulate business logic, reduce code duplication, and enforce consistency across models.
• Build macros for common healthcare patterns: date spine generation, ICD code grouping, member-month calculations, and claim adjudication logic.
• Apply advanced Jinja control structures (loops, conditionals, modules) for dynamic SQL generation.
• Develop and maintain a macro library; document usage, inputs, and expected outputs for each macro.

5. Packages:
• Integrate and manage dbt packages including dbt-utils, dbt-expectations, dbt-audit-helper, and dbt-codegen.
• Use dbt-utils for surrogate key generation, date spine, pivot/unpivot, star schema helpers, and cross-database compatibility.
• Use dbt-audit-helper to compare model outputs between environments and validate refactoring changes.
• Evaluate and onboard new community packages; contribute to internal package development where needed.

6. Semantic Layer & Metrics:
• Define and maintain the dbt Semantic Layer: create MetricFlow metric definitions, dimensions, entities, and measures for self-service analytics.
• Expose consistent, governed metrics (member months, PMPM, claim approval rate, readmission rate) to BI tools via the semantic layer.
• Collaborate with Data Scientists and business stakeholders to align metric definitions with analytical requirements.
• Manage semantic layer versioning and ensure backward compatibility as models evolve.

7. Data Dictionary & Documentation:
• Author and maintain comprehensive dbt documentation: model descriptions, column-level definitions, and business context for all production models.
• Build and publish dbt docs sites; enforce documentation standards as part of the PR review process.
• Maintain a Data Dictionary covering all entities, attributes, business rules, and lineage across healthcare domains.
• Produce and maintain data lineage diagrams (source-to-consumption) using dbt's built-in DAG and lineage graph.
• Conduct documentation reviews with business stakeholders to ensure accuracy and completeness.

8. Engineering & Collaboration:
• Manage dbt project CI/CD: integrate dbt runs and tests into GitHub Actions or Azure DevOps pipelines; enforce PR-level testing gates.
• Perform code reviews; maintain dbt project hygiene (ref() vs. source(), no raw SQL, consistent style).
• Collaborate with Data Engineers on upstream pipeline design; coordinate with Data Scientists and ML Engineers on feature layer delivery.
• Support data consumers (BI, Analytics, ML) by maintaining SLAs and responding to data issues.

REQUIRED SKILLS & EXPERIENCE

• 7+ years of data engineering or analytics engineering experience; 5+ years of hands-on dbt in production.
• Expert-level SQL; advanced query optimization on columnar data warehouses (Snowflake, Redshift, BigQuery).
• Deep hands-on dbt experience: models, tests, snapshots, macros, Jinja templating, packages, semantic layer, and docs.
• Proficiency with dbt-utils, dbt-expectations, and dbt-audit-helper in production.
• Experience designing dbt projects for large-scale, multi-domain data lakes or data warehouses.
• Strong understanding of data modelling: dimensional modelling, Star Schema, Data Vault 2.0, and Medallion architecture.
• Experience with CI/CD for dbt: automated test execution, slim CI (state:modified), and deployment pipelines.
• Proficiency in Python for custom dbt operations, scripting, and integration.
• Familiarity with AWS data services: Redshift, S3, Glue, Athena, or equivalent cloud warehouse.
• Experience with version control (Git) and collaborative development workflows (branching, PRs, code review).
• Strong documentation discipline: column-level docs, model descriptions, and data dictionary maintenance.

GOOD TO HAVE

• Healthcare domain knowledge: claims (837/835), member eligibility, pharmacy (NCPDP), clinical data (FHIR/HL7).
• Experience with dbt Cloud: environments, jobs, scheduler, and dbt Explorer.
• Exposure to MetricFlow and dbt Semantic Layer for self-service BI integration.
• Familiarity with data governance and cataloging tools: Collibra, Alation, or AWS Glue Catalog.
• Knowledge of Apache Iceberg or Delta Lake with dbt adapter support.
• dbt Certification (required within 1 month of joining if not already certified).

EDUCATION

• B.Tech / B.E. / M.Tech in Computer Science, Information Technology, or related field.

Senior Python Developer

We are looking for a skilled and self-driven Senior Python Django Developer to join our team. The ideal candidate should have strong technical expertise in Python and Django, the ability to manage projects independently, and experience mentoring junior developers.

Roles and Responsibilities

* Develop, maintain, and improve web applications using Python and Django
* Write clean and efficient code using Python, Django, HTML, and CSS
* Work closely with the product and development teams to build and enhance products
* Develop and manage microservices-based applications
* Deploy and maintain web applications in Linux environments
* Troubleshoot bugs and solve technical issues
* Handle multiple projects and collaborate effectively with different teams
* Mentor and support junior developers
* Participate in technical discussions and contribute to software design decisions
* Understand business requirements and build suitable technical solutions
* Stay updated with current development practices and technologies
* Support team growth through technical interviews and hiring

Required Skills and Qualifications

* Minimum 4 years of experience in the relevant field
* Strong expertise in Python and Django
* Good knowledge of Relational Databases
* Experience with Web Services / APIs
* Proficiency in Git
* Strong understanding of software design with a focus on maintainability and scalability
* Excellent problem-solving and communication skills
* Ability to build and manage web applications from start to finish

Preferred Skills (Good to Have)

* Knowledge of Node.js
* Experience with React
* Familiarity with Elastic Stack

Business Intelligence (BI) Analyst – Analytics & Dashboarding

About the Role

Aventus Informatics is looking for a Business Intelligence (BI) Analyst to help our clients make data-driven decisions by bringing together data from multiple platforms, transforming it into meaningful insights, and building interactive dashboards. You will work closely with our software development, product, and digital marketing teams to design reporting solutions that provide a unified view of business performance.

Key Responsibilities:
• Read and manage Google Analytics 4 (GA4) and Google Search Console (GSC) to monitor website performance, user behaviour, conversions, and search visibility.
• Gather, consolidate, and synchronize data from multiple sources, including web analytics, CRM systems, databases, APIs, and third-party platforms.
• Build automated dashboards and reports using Looker Studio and other BI tools.
• Design and maintain a single source of truth for business and product reporting.
• Define and implement KPIs, conversion tracking, and performance metrics.
• Work closely with software development teams to ensure accurate event tracking and data collection.
• Validate data quality, identify inconsistencies, and improve reporting accuracy.
• Analyze user behaviour, traffic, conversions, and product performance to provide actionable insights.
• Present findings and recommendations to clients and internal stakeholders.
• Continuously improve reporting frameworks and automate recurring reports.

Required Skills:
• Strong hands-on experience with Google Analytics 4 (GA4).
• Strong experience with Google Search Console (GSC).
• Advanced proficiency in Looker Studio for creating executive dashboards and business reports.
• Demonstrable experience in bringing together and synchronizing data from multiple sources, including APIs, databases, CRM platforms, and third-party applications.
• Experience implementing event tracking and conversion measurement.
• Good understanding of Google Tag Manager (GTM).
• Strong analytical and problem-solving skills.
• Excellent communication and presentation skills.

Preferred Qualifications:
• 5+ years of experience in Business Intelligence, Web Analytics, or Data Analytics.
• Experience working with a software development or SaaS company.
• Familiarity with REST APIs and data integration concepts.
• Knowledge of SQL and data visualization best practices is an added advantage.

What We're Looking For:
We're looking for someone who can go beyond reporting. The ideal candidate should be capable of bringing together data from multiple business systems, ensuring it is synchronized and accurate, and transforming it into intuitive dashboards that enable better business decisions. This role requires both technical expertise and the ability to communicate insights clearly to technical and non-technical stakeholders.