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Codvo
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Fullstack Data Engineer - Databricks

Fullstack Data Engineer - Databricks

Codvo

4 - 7 years

6 - 9 Lacs

pune

Posted:6 days ago| Platform:

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Skills Required

computer science front end networking data modeling machine learning olap data quality analytics sql python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Data Engineer Databricks

Role Overview

We are looking for a highly skilled Full Stack Data Engineer with expertise in 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 Databricks (PySpark, Delta Lake, SQL).
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.

Required Skills Qualifications

Core Databricks Skills:
Strong in PySpark, Delta Lake, Databricks SQL.
Experience with Databricks Workflows, Unity Catalog, and Delta Live Tables.
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.

Qualifications

Bachelor s or Master s in Computer Science, Data Engineering, or related field.
4 7 years of experience in data engineering, with at least 2 years on 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.

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Fullstack Data Engineer - Databricks