Remote India Fullstack data engineer (india) Jobs – 9 Open Jobs Today

Fullstack Data Engineer (India)
Codvo.ai —Remote
- Remote
- Azure
- Computer Science
- Java
Software Engineer - Fullstack
Skyflow —Remote
- Full-time
- Remote
- APIs
- Health insurance
- Work from home
FullStack React JS Engineer
ScaleReal Technologies —Remote
- Full-time
- Remote
- Azure
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Software Engineer (Fullstack)
Tandems —Remote
- Full-time
- Remote
- Java
- Master's degree
- Databases
- Health insurance
- Paid time off
Quick apply
Staff Software Engineer (FullStack)
AlphaSense —Remote
- Remote
- DevOps
- Java
- Master's degree
Engineering Manager – Fullstack & AI Engineering
Codvo.ai —Remote
- Full-time
- Remote
- Azure
- Management
- Master's degree
Staff AI Fullstack Engineer
G-P —Remote
- Full-time
- Remote
- System design
- Master's degree
- JavaScript
- Health insurance

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Fullstack Data Engineer (India)

Codvo.ai
Remote

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Job details

Qualifications

CI/CD
Power BI
Azure
Law
Computer Science
React
Kubernetes
Full-stack development
Spark
Git
Tableau
Java
Master's degree
Microservices
SQL
AWS
Analysis skills
Docker
Bachelor's degree
Machine learning
Scala
Neo4j
Continuous integration
Angular
Unity
GitHub
APIs
ETL
S3
Teradata
Kafka
Data visualization
Flask
AI
Informatica
Jenkins
Graph databases
Python
Identity & access management

Full job description

Job Description : Data Engineer

Role Overview

We are looking for a highly skilled Full Stack Data Engineer with expertise in data technologies like snowflake, Azure Data Factory, Databricks to design, develop, and optimize end-to-end data pipelines, data platforms, and analytics solutions. This role combines strong data engineering, cloud platform expertise, and software engineering skills to deliver scalable, production-grade solutions.

Key Responsibilities

Design and develop ETL/ELT pipelines on platforms like Databricks (PySpark, Delta Lake, SQL), Informatica, Teradata, Snowflake.
Architect data models (batch and streaming) for analytics, ML, and reporting.
Optimize performance of large-scale distributed data processing jobs.
Implement CI/CD pipelines for Databricks workflows using GitHub Actions, Azure DevOps, or similar.
Build and maintain APIs, dashboards, or applications that consume processed data (full-stack aspect).
Collaborate with data scientists, analysts, and business stakeholders to deliver solutions.
Ensure data quality, lineage, governance, and security compliance.
Deploy solutions across cloud environments (Azure, AWS, or GCP).

Required Skills & Qualifications

Core Databricks Skills:

Strong in PySpark, Delta Lake, Databricks SQL.
Experience with Databricks Workflows, Unity Catalog, and Delta Live Tables.
Experience in snowflake, data engineering technologies like ETL, ELT

Programming & Full Stack:

Python (mandatory), SQL (expert).
Exposure to Java/Scala (for Spark jobs).
Knowledge of APIs, microservices (FastAPI/Flask), or basic front-end (React/Angular) is a plus.

Cloud Platforms:

Proficiency with at least one: Azure Databricks, AWS Databricks, or GCP Databricks.
Knowledge of cloud storage (ADLS, S3, GCS), IAM, networking.

DevOps & CI/CD:

Git, CI/CD tools (GitHub Actions, Azure DevOps, Jenkins).
Containerization (Docker, Kubernetes is a plus).

Data Engineering Foundations:

Data modeling (OLTP/OLAP).
Batch & streaming data processing (Kafka, Event Hub, Kinesis).
Data governance & compliance (Unity Catalog, Lakehouse security).

Nice-to-Have

Experience with machine learning pipelines (MLflow, Feature Store).
Knowledge of data visualization tools (Power BI, Tableau, Looker).
Exposure to Graph databases (Neo4j) or RAG/LLM pipelines.
Experience working in Informatica, Teradata in ETL, ELT

Qualifications

Bachelor’s or Master’s in Computer Science, Data Engineering, or related field.
4–7 years of experience in data engineering, with deep expertise in Databricks.

Soft Skills

Strong problem-solving and analytical skills.
Ability to work in fusion teams (business + engineering + AI/ML).
Clear communication and documentation abilities.

About Us

At Codvo, we are committed to building scalable, future-ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive. Join us to be part of a team that solves complex data challenges with creativity and cutting-edge technology.

Apply Now

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fullstack data engineer (india) jobs in remote india

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