Build the future
with us.

At Entiovi, we believe technology is driven by people with ideas, passion, and the courage to solve real-world challenges. Whether you are an experienced professional or an emerging talent, we offer an environment where learning, collaboration, and growth go hand in hand.

Careers at Entiovi

We are continuously building a team of innovators, problem-solvers, and technology enthusiasts who are ready to create impactful solutions for global customers.

Entiovi's work spans Product Development, Platform Engineering, Cloud Technologies, AI, Analytics, Mobility Solutions, Lab Informatics, IoT, and Deep-Tech innovations - delivered for clients across India, the USA, Europe, the UK, and Australia. The people we look for share one thing: a genuine appetite for technology and a willingness to take ownership of the problems they choose to solve.

Why work with Entiovi

A team built for
long-term impact

Five reasons engineers, designers, scientists, and consultants choose to grow their careers at Entiovi.

Work on innovative technologies

Be part of projects across Product Development, Platform Engineering, Cloud, AI, Analytics, Mobility, Lab Informatics, IoT, and Deep-Tech innovations - engineered for real production environments, not demonstrations.

Global exposure

Collaborate with customers, partners, and teams across India, the USA, Europe, the UK, and Australia while working on scalable global solutions that ship to enterprise clients in regulated industries.

Continuous learning

Technology evolves rapidly, and so do we. Entiovi encourages continuous upskilling, knowledge sharing, internal tech talks, and hands-on learning to keep our teams future-ready across the stack.

Growth-focused environment

We recognise talent, encourage ownership, and create structured opportunities for both professional and personal growth - from individual-contributor depth to technical leadership tracks.

Collaborative culture

Work with supportive colleagues, experienced mentors, and passionate professionals who value teamwork, transparency, and innovation - a culture shaped by three decades of delivering complex technology engagements.

What you can expect

A workplace where ideas
and contributions are valued

Six things every Entiovi engagement, internship, and leadership track is engineered to deliver - practical commitments, not slogans.

01

Challenging, meaningful work

Opportunities to work on projects that solve real problems for global customers - not training exercises.

02

Modern technologies & platforms

Exposure to current enterprise stacks across cloud, AI, data, and platform engineering.

03

Innovation & improvement

A culture of continuous improvement - engineering retrospectives, internal tech talks, and shared craft.

04

Flexible, collaborative environment

A working model built around outcomes, ownership, and peer collaboration rather than hours logged.

05

Learning across domains

Cross-domain exposure across regulated industries - healthcare, finance, public sector, logistics, mobility, and beyond.

06

A voice that gets heard

A workplace where ideas and contributions are valued - and where engineering judgment carries weight.

Current opportunities

Join a team
that creates impact

From software engineering and cloud infrastructure to data analytics, product development, QA, UI/UX, DevOps, and consulting, we are always looking for talented individuals who are ready to make a difference.

Senior Data Engineer

About the Role

The Senior Data Engineer in our AI & Data team will be responsible for designing and building scalable data platforms, enterprise-grade data architectures, and high-performance data ingestion frameworks across Azure, Snowflake, Databricks, and Lakebase.

This role requires a highly technical engineer capable of solving complex data platform challenges involving large-scale API integrations, distributed data processing, cloud-native architectures, and AI-enabled data platforms.

The ideal candidate is not only a Data Engineer but also a strong Python engineer with expertise in data architecture, system design, API engineering, concurrent processing, and enterprise-scale platform development.

Main Responsibilities

  • Design and implement scalable enterprise data architectures supporting AI, analytics, reporting, and operational workloads.
  • Build and optimize large-scale ELT/ETL pipelines using Databricks, Snowflake, Azure Data Factory, and Azure services.
  • Design and implement Medallion Architectures (Bronze/Silver/Gold), CDC frameworks, lineage models, and master data management workflows.
  • Develop high-performance Python-based ingestion frameworks supporting large-scale extraction from internal and external data sources.
  • Build and maintain REST API and GraphQL integrations including OAuth/OAuth2 authentication, token lifecycle management, pagination, retry mechanisms, rate limiting, and automated error recovery.
  • Design parallelized ingestion solutions using multi-threading, asynchronous processing, and distributed execution patterns.
  • Develop and maintain Databricks pipelines, Delta Lake architectures, and Snowflake analytical data platforms.
  • Build and support real-time and near-real-time data processing solutions using event-driven architectures.
  • Implement data quality, reconciliation, lineage, observability, and governance frameworks across the platform.
  • Design scalable data models supporting analytics, machine learning, feature engineering, and AI workloads.
  • Monitor production environments, troubleshoot pipeline failures, optimize platform performance, and drive cost optimization initiatives.
  • Collaborate closely with AI Engineers, Architects, Product Teams, and Business Stakeholders.

Required Skills & Experience

Python
Mandatory
  • Strong production-grade Python development experience.
  • Object-Oriented Programming (OOP).
  • Modular framework development.
  • Logging, exception handling, testing, and debugging.
  • Performance optimization and profiling.
  • Experience building reusable ingestion and transformation frameworks.
Advanced API Engineering
Mandatory
  • REST APIs.
  • GraphQL APIs.
  • OAuth/OAuth2.
  • JWT Authentication.
  • API Pagination.
  • Rate Limiting.
  • Retry Logic.
  • Token Refresh Handling.
  • Error Handling Frameworks.
  • High-volume API ingestion architecture.
Data Architecture & System Design
Mandatory
  • Medallion Architecture.
  • Data Warehouse Architecture.
  • Data Lakehouse Architecture.
  • Master Data Management (MDM).
  • Golden Record Design.
  • Data Lineage.
  • Change Data Capture (CDC).
  • Historical Data Management.
  • Enterprise Data Modeling.
Data Pipeline Design
Mandatory
  • Design and build scalable, fault-tolerant enterprise data pipelines.
  • Strong experience with batch, near real-time, and event-driven processing architectures.
  • Expertise in designing ingestion, transformation, validation, reconciliation, and serving layers across modern data platforms.
  • Experience implementing Medallion Architecture (Bronze, Silver, Gold) and data lakehouse patterns.
  • Strong understanding of Change Data Capture (CDC), incremental processing, watermarking strategies, and SCD Type 1/Type 2 implementations.
  • Design audit frameworks, lineage tracking, reconciliation controls, monitoring, alerting, and observability solutions.
  • Ability to build high-volume ingestion pipelines from APIs, databases, files, data streams, and external systems.
  • Experience designing resilient pipelines with retry mechanisms, checkpointing, idempotent processing, restartability, and failure recovery.
  • Strong understanding of throughput optimization, parallel processing, concurrency, and workload orchestration.
  • Experience designing data movement patterns across Snowflake, Databricks, Azure services, and downstream analytics platforms.
Databricks
Mandatory
  • Databricks Workflows.
  • Delta Lake.
  • Unity Catalog.
  • PySpark.
  • Spark SQL.
  • Databricks Performance Tuning.
  • Distributed Data Processing.
Snowflake
Mandatory
  • Snowpipe.
  • Streams.
  • Tasks.
  • Dynamic Tables.
  • Time Travel.
  • Zero-Copy Cloning.
  • RBAC.
  • Query Optimization.
  • Warehouse Optimization.
  • Cost Management.
SQL & Data Modeling
Mandatory
  • Advanced SQL.
  • CTEs.
  • Window Functions.
  • Stored Procedures.
  • MERGE.
  • Star Schema.
  • Snowflake Schema.
  • SCD Type 1 & Type 2.
  • Dimensional Modeling.
Azure
Mandatory
  • Azure Data Factory.
  • ADLS Gen2.
  • Azure Synapse.
  • Event Hubs.
  • Azure Integration Services.
Strongly Preferred
Preferred
  • Apache Airflow.
  • dbt.
  • Kafka.
  • Event Driven Architecture.
  • Terraform.
  • Infrastructure as Code.
  • Azure OpenAI.
  • AI/ML Data Pipelines.
  • Feature Stores.
Git & DevOps
Mandatory
  • Git Branching Strategies.
  • Pull Requests.
  • Git Rebase.
  • Cherry-picking.
  • Merge Management.
  • Repository Governance.
  • CI/CD Pipelines.
  • GitHub Actions / Azure DevOps.
  • Secret Management.
  • Git History Cleanup and Recovery.

Experience

  • 5+ years of hands-on Data Engineering experience.
  • Proven experience designing production-grade enterprise data platforms.
  • Strong experience working directly with business stakeholders and translating requirements into scalable technical solutions.
  • Experience leading architecture discussions and solving complex technical problems independently.
Internship opportunities

Learn, innovate,
and grow with Entiovi

We nurture young talent and provide aspiring professionals with real-world industry exposure. Our internship programmes are designed to help students and fresh graduates gain practical experience, strengthen technical and professional skills, and work alongside experienced industry experts on live projects.

Software Development

Web & Mobile Application Development

Cloud & DevOps

Artificial Intelligence & Data Analytics

UI / UX Design

Quality Assurance & Testing

Business Analysis

HR & Talent Acquisition

Digital Marketing & Content Creation

Research & Innovation

What interns can expect

A structured programme that
builds career-ready engineers.

Hands-on real-time projects

Work on live engagements - not sandboxed exercises - and ship code that reaches production.

Mentorship from experts

Pair with experienced professionals who guide design choices, review code, and accelerate your growth.

Industry-standard tools

Exposure to the cloud, AI, and engineering stack used across Entiovi's enterprise client base.

Collaborative, learning-focused

A team environment built around peer review, knowledge sharing, and constructive feedback.

Technical & communication skills

Sharpen presentation, documentation, and stakeholder-communication craft alongside your technical work.

Certificate of completion

A formal Certificate of Internship recognising the work delivered and the skills demonstrated.

Pathway to full-time roles

Strong performers are considered for full-time positions - many Entiovi engineers started as interns.

Life at Entiovi

We celebrate innovation, teamwork, and continuous growth. Great ideas come from collaborative environments where people feel motivated, supported, and empowered to contribute.

Our teams work on cutting-edge technologies while maintaining a culture that values learning, creativity, ownership, and mutual respect. From offshore delivery in Kolkata to regional engagement in San Francisco, Paris, Reading, and Sydney - the way we work stays consistent: practical engineering, long-term thinking, and people-first leadership.

Ready to grow with us?

Come, join us on
our journey

Building innovative and scalable technology solutions - one engagement at a time. If you are passionate about technology, eager to learn, and excited to work in a fast-growing environment, we would love to hear from you.

Apply directly

Send us your resume

Share a copy of your CV along with a short note about the role or domain you are interested in. We respond from the office closest to you.

hr@entiovi.com
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Build with intelligence. Deliver with accountability.

Build the future
with Entiovi

A workplace where legacy, sweat, and talent go hand in hand - and where the work you do continues to matter beyond the first deployment.

Entiovi · Company · Careers