Platform Engineer – Python / Databricks / Notebooks / Kubernetes

Platform Engineer – Python / Databricks / Notebooks / Kubernetes

Job Description

Syntasa is seeking a high-caliber and dedicated

Platform Engineer

to join its India subsidiary,

Syntasa Technologies India Private Limited . This position offers an exciting opportunity to contribute to the growth of a world-class development and support center. The India operations will serve as an extension of Syntasa’s US-based software development and support functions.

Key Responsibilities

Design and develop and maintain

scalable data pipelines

and platform services using

Python ,

Apache Spark , and

Databricks .

Develop and manage

notebook-based workflows

(Jupyter, Databricks, etc.) for data processing, analysis, and automation.

Build and optimize

data integration workflows

and reusable components for ingestion, transformation, and orchestration.

Deploy and manage workloads on

Kubernetes , ensuring scalability and reliability.

Implement and maintain

cloud-native solutions

on

AWS, GCP, or Azure .

Collaborate with

data science, application, and platform teams

to deliver efficient and robust data services.

Drive

automation, observability, and CI / CD

improvements across the platform

Skills & Experience

Must-Have : Strong experience in

Python

for data engineering, scripting, and automation.

Solid understanding of

Apache Spark

and distributed data processing.

Experience working with

notebooks

(Jupyter, Zeppelin, or Databricks).

Hands-on experience with

Kubernetes

for container orchestration, workload deployments and scaling.

Nice to Have : Familiarity with

DevOps practices ,

CI / CD pipelines , and

cloud environments

(AWS, GCP, Azure).

Experience with

Kafka ,

real-time streaming ,

Java / Spring Boot .

Knowledge of

RDBMS (PostgreSQL)

and

NoSQL

databases.

Knowledge of BigData services like BigQuery, BigTable, Hive

Requirements

Bachelor’s or Master’s degree (or foreign equivalent) in

Computer Science, Engineering , or a related field.

4+ years

of progressive experience as a

Software Engineer, Data Engineer, or Platform Engineer .

Strong

problem-solving ,

collaboration , and

communication

skills.

Ability to thrive in a

fast-paced, distributed engineering environment .