Python
Docker
Kubernetes
Amazon Web Services (AWS)
PostgreSQLSenior Data Engineer
• Data Engineering • Streaming Pipelines • Graph Databases • Entity Resolution
Role at a Glance Level
- Lead / Senior (Individual Contributor / Team Lead Track) Experience
- 7 - 10 years of relevant professional experience Location
- Remote (Pune Based Preferred) Employment Type
- Contract Industry Preference
- Any (Healthcare preferred - Payer / Provider experience strongly preferred)
About the Role
We are looking for a Senior Data Engineer with deep expertise in streaming architectures, graph database platforms, and large-scale data pipeline engineering. This is a high-ownership, hands-on role that sits at the intersection of real-time data infrastructure, entity resolution, and multi-database system design.
You will architect and build pipelines that drive a complex, multi-layered data platform - ingesting from diverse upstream sources, resolving entities at scale, and keeping graph, relational, search, and caching layers in sync. You will work closely with data architects, AI engineers, and product teams to deliver reliable, high-performance data infrastructure that powers downstream analytics and intelligent applications across any domain.
Key Responsibilities
Streaming & Ingestion Architecture
•Design and build production-grade CDC (Change Data Capture) pipelines using Apache Kafka, consuming events from PostgreSQL, SQL Server, and other RDBMS sources into a centralised knowledge graph.
•Architect multi-source ingestion connectors supporting schema evolution, backpressure handling, and at-least-once delivery guarantees across heterogeneous data sources.
•Configure and govern Confluent Schema Registry with Avro / Protobuf schemas across all Kafka topics; enforce backward and forward compatibility standards.
•Design micro-batch and streaming ETL/ELT workflows using Apache Spark or equivalent frameworks for bulk initial loads and ongoing incremental refresh patterns.
•Manage messaging workflows where required; define routing, dead-letter, and retry strategies appropriate to each integration pattern.
Graph Database Engineering
•Design, build, and optimise graph data models on a production graph database platform; Neo4j is preferred but experience with Amazon Neptune, ArangoDB, TigerGraph, or equivalent graph databases is valued.
•Author complex graph queries and traversal patterns - Cypher (Neo4j), Gremlin (Neptune/TinkerPop), or SPARQL - for both operational and analytical use cases.
•Own ingestion-side write strategies for the graph layer: batch import patterns, upsert logic, index management, and performance tuning under high write throughput.
•Collaborate with senior architects to ensure graph data models honour defined schema constraints and governance standards; apply constraint validation frameworks where applicable.
•Engineer reliable data flows across complementary stores - relational (PostgreSQL), search (Elasticsearch), caching (Redis), and time-series (TimescaleDB) - with consistent transaction semantics.
Entity Resolution & Data Quality
•Build probabilistic entity resolution engines for large-scale deduplication across master data domains - customers, products, entities, or records - leveraging record linkage concepts (Fellegi-Sunter model, blocking strategies, confidence thresholds) and libraries such as Splink, Zingg, or Dedupe.io.
•Define and enforce data quality validation rules at ingestion time; implement automated alerting for schema violations, volume anomalies, and SLA breaches.
•Design master data management patterns for cross-system entity matching and golden record creation; ensure consistency across all downstream consumers.
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•Build and maintain ETL/ELT pipelines using Apache Spark or dbt; define transformation logic, partitioning strategies, and incremental processing patterns.
•Ensure data lineage, audit trail, and observability are built into pipeline design from the outset using OpenTelemetry or equivalent tooling.
Technical Leadership & Collaboration
•Contribute to a sub-team of data engineers; participate in sprint planning, design reviews, and on-call rotations for critical pipelines.
•Define and enforce coding standards, pipeline patterns, and infrastructure-as-code practices using Terraform, Docker, and Kubernetes.
•Drive proof-of-concept evaluations for new ingestion technologies, graph platforms, and data tooling relevant to the engagement.
Required Qualifications
Experience
•7 - 10 years of progressive experience in data engineering or a closely related discipline.
•Demonstrated track record of delivering production-grade streaming and CDC pipeline systems in enterprise environments across any industry vertical.
•Hands-on experience with graph database platforms in production - Neo4j preferred; Amazon Neptune, ArangoDB, TigerGraph, or equivalent is acceptable.
•Practical experience with entity resolution, fuzzy matching, or master data management at scale (500K+ records).
•Solid experience with multi-database architectures combining graph, relational, and search layers.
•Candidates from any industry are welcome; experience in regulated or data-intensive domains (financial services, retail, logistics, telecoms, healthcare) is advantageous.
Technical Skills
•Streaming & CDC: Apache Kafka
•Graph Databases: Production experience with at least one graph database platform - Neo4j (preferred), Amazon Neptune, ArangoDB, or TigerGraph; proficiency in the associated query language (Cypher, Gremlin, or SPARQL).
•Supporting Databases: PostgreSQL (relational), Elasticsearch (search), Redis (caching).
•Programming: Python (Advanced) - pipeline automation, data workflow scripting, testing; SQL at expert level for complex transformations and query optimisation.
•Entity Resolution: Probabilistic record linkage concepts; practical experience with Splink, Zingg, Dedupe.io, or a comparable library.
•Data Engineering: High-volume ETL/ELT pipeline design; Apache Spark for distributed processing; data lakehouse patterns (Iceberg, Parquet, Delta Lake).
•Cloud & Infrastructure: AWS or Azure - production delivery on at least one platform; Docker, Kubernetes, Terraform.
•Familiarity with semantic or schema standards - OWL 2, RDF, SHACL, JSON-LD - sufficient to write conformant graph data models against a defined schema.
•Experience with OpenTelemetry, distributed tracing, or observability tooling for pipeline monitoring and incident response.
•Prior work in compliance-driven data environments with audit trail, data masking, or access control requirements.
•Exposure to graph analytics and visualisation tooling such as Neo4j Bloom, Gephi, or equivalent.
•Experience with data governance platforms such as Microsoft Purview, Collibra, or Alation.
Preferred Qualifications
•Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related engineering discipline.
Shubham Vishwakarma
Full Stack Developer - Averlon
About Vivanet
About
VIVANET delivers cutting-edge artificial intelligence solutions that empower your business to innovate faster and achieve exceptional results.
Candid answers by the company
# Vivanet - FAQ
## About Vivanet
Q. What is Vivanet's philosophy?
It's more than AI with us. Driven by genuine insight and a collaborative mindset, we build customized technology AI and digital solutions that deliver impact where it matters most.
Q. What does Vivanet mean?
"Viva" in Italian or Spanish means 'to acclaim with enthusiastic approval'. Vivanet represents our commitment to building acclaimed technology solutions powered by a talent network that is competent and diverse.
Q. What is Vivanet's mission?
“Building AI solutions of Tomorrow” - to give wings to ideas. We work closely with our clients to understand their unique digital needs and build scalable, high-quality AI and software solutions that drive real business value.
Q. What is Vivanet's vision?
At Vivanet, we believe in the power of technology to transform businesses and create meaningful impact. Founded with the vision of bridging the gap between innovative ideas and practical implementation, we have grown into a trusted partner for businesses seeking reliable software solutions.
Q. Where is Vivanet located?
We are headquartered in Pune, India, with a growing global footprint. We bring a unique blend of local insight and international expertise to every project. We have satellite offices in Bengaluru, Texas, USA and Middle East (upcoming).
Q. How established is Vivanet?
Vivanet was founded in 2022 and has quickly grown to become a trusted partner for 15+ leading organizations across various industries.
## Company Culture and Values
Q. What are Vivanet's core values?
Vivanet is guided by four fundamental principles:
- Building Trust - Through accountability and delivery
- Demonstrating Commitment - By providing high-quality service to our employees and customers
- Acting with Humility - Through inclusion, respect, and situational awareness
- Aiming for Excellence - In technology and execution
Q. What is the work culture like at Vivanet?
As our Founder & CEO Aadarsh Iyer says: "At Vivanet, we connect with purpose, listen with intent, and build with care. From engagement to delivery, we do everything we can to meet and often exceed your expectations."
We are rooted in purpose and evolving through innovation. Our culture emphasizes genuine insight, collaboration, and meaningful impact.
Q. What do the leadership team believe in?
Our Technology Specialist Rohit Shedage describes our approach: "We empower businesses through thoughtful innovation and seamless tech integration, one meaningful line of code at a time."
Our Director of L&D, Sunil Datta, emphasizes: "We believe that upskilling should be a part of our daily routine, while reskilling is something we need to approach strategically. It's our way of keeping ourselves sharp, relevant, and prepared for whatever comes next!"
Our AI Specialist, Gopalkrishna Holla, focuses on "helping organizations and industries adopt and embed AI into their data, people, processes, products, and services."
## Services and Technology
Q. What services does Vivanet provide?
Vivanet offers comprehensive technology solutions across three main areas:
**AI Specializations: **
- Vision AI
- Agentic AI
- Generative AI (Gen AI)
- Conversational AI
**Software Development: **
- Cloud solutions
- SaaS applications
- Web applications
- Mobile apps
- Analytics
**Talent on Demand: **
- Smart Hiring
- Ready Talent
- Value-Driven staffing models (DNA and LED models)
Q. What technologies does Vivanet work with?
We embrace cutting-edge technologies including:
- AI/ML (Vision AI, Gen AI, Agentic AI, Conversational AI)
- Modern web and javascript frameworks
- Mobile development technologies
- Full Stack development
Q. What industries does Vivanet serve?
We solve what matters across diverse industries:
- Food and Beverage
- Systems Engineering
- Manufacturing
- Marketing
- IT Consulting
- Education
- E-Commerce
- Automotive
- Oil & Gas
- Renewable Energy
- Retail & Consumer Goods
- Logistics & Supply Chain
- Real Estate & Construction
- Aviation
- Maritime
## Career Opportunities
Q. What roles does Vivanet hire for?
We hire talented professionals across multiple domains:
- AI/ML Engineers and Specialists
- Software Developers (Web, Mobile, Cloud)
- SaaS Application Developers
- Data Scientists and Analytics Experts
- Cloud Architects
- Full-stack Developers
- Technical Leadership roles
Q. What makes Vivanet an exciting place to work?
- Work on cutting-edge AI technologies including Vision AI, Agentic AI, and Generative AI
- Exposure to diverse industries and challenging problems
- Growing company with a global footprint
- Trusted by 12+ leading organizations
- Strong focus on continuous learning and development
- Collaborative, purpose-driven culture
Q. Does Vivanet invest in employee development?
Absolutely! Learning and development is core to who we are. As our Director of L&D emphasizes, we believe upskilling should be part of our daily routine, and reskilling should be approached strategically. We help our team stay sharp, relevant, and prepared for what's next.
Q. What is the company's approach to growth?
We continue to evolve, embracing cutting-edge technologies to deliver solutions that not only meet current needs but also prepare our clients—and our team—for the future.
## Work Philosophy
Q. What makes Vivanet different from other IT companies?
- **Purpose-Driven: ** Rooted in purpose, evolving through innovation
- **Genuine Insight:** We don't just implement technology; we provide genuine insight and collaborative solutions
- **Impact-Focused:** We deliver impact where it matters most
- **Client Partnership:** We bridge the gap between innovative ideas and practical implementation
- **Quality Commitment:** We build scalable, high-quality software that drives real business value
Q. What is Vivanet's approach to projects?
We connect with purpose, listen with intent, and build with care. We work closely with clients to understand their unique digital needs and create customized solutions that deliver measurable results.
Q. How does Vivanet approach innovation?
We empower businesses through thoughtful innovation and seamless tech integration. We don't just follow trends—we help organizations adopt and embed emerging technologies like AI/ML into their operations to create real, lasting value.
## Talent Models
Q. What are DNA and LED talent models?
Vivanet offers flexible talent augmentation through specialized models:
- **DNA Model:** Smart hiring solutions
- **LED Model:** Ready talent deployment
These models allow clients and team members to scale effectively and access skilled developers and engineers as needed.
## Growth and Learning
Q. Will I have opportunities to learn new technologies?
Learning is embedded in our culture. We believe upskilling should be part of your daily routine, and we provide strategic opportunities for reskilling to keep you sharp, relevant, and prepared for the future.
Q. What kind of impact can I make at Vivanet?
As a growing company, your contributions will have direct impact on client success and company growth. You'll work on solutions that solve real business problems and move entire industries forward.
Q. How does Vivanet prepare employees for the future?
We embrace cutting-edge technologies and help our team stay ahead of the curve. Whether it's AI/ML, cloud computing, or modern frameworks, we ensure our people are equipped with the skills that matter for tomorrow's challenges.
## Application Process
Q. How do I apply to Vivanet?
Connect with us on LinkedIn at https://in.linkedin.com/company/vivanet-india
Q. What qualities does Vivanet look for in candidates?
We seek professionals who embody our values:
- Accountable and delivery-focused (Building Trust)
- Committed to quality and excellence
- Humble, inclusive, and respectful team players
- Passionate about innovation and continuous learning
- Purpose-driven with genuine insight
- Eager to create meaningful impact
Q. Does Vivanet offer opportunities for freshers?
With our strong focus on learning and development, and talent models designed to nurture skills, we welcome motivated individuals at various career stages. Connect with us to discuss opportunities that match your experience level.
## Leadership Team
Q. Who leads Vivanet?
**Aadarsh Iyer** - Founder & CEO
Leading with a philosophy of connecting with purpose, listening with intent, and building with care.
**Rohit Shedage** - Technology Specialist
Driving thoughtful innovation and seamless tech integration.
**Sunil Datta** - Director - Learning & Development
Championing continuous upskilling and strategic reskilling initiatives.
**Gopalkrishna Holla** - AI Specialist
Helping organizations adopt and embed Generative AI into their operations.
## Contact Information
Q. How can I learn more about Vivanet?
- Website: https://www.vivanet.in
- LinkedIn: https://in.linkedin.com/company/vivanet-india
- Instagram: @vivanet_india
- Location: Pune, India (with growing global footprint)
Q. Who can I contact for career inquiries?
Please reach out through LinkedIn page for career opportunities and additional information.
---
*Join us in transforming businesses through technology. At Vivanet, we don't just build software—we give wings to ideas and create meaningful impact. Be part of a team that's rooted in purpose and evolving through innovation.*
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