Bengaluru · Remote

Data Engineer / Data Scientist

Full-timePosted 13 Nov

Salary: Not disclosed
Experience: 5–8 years
Eligible batches: 2020 · 2021
Degree: Bachelor's, Master's
Location: BengaluruRemote
Apply by: 25 Nov 2026

About the role

Concentrix is seeking a seasoned Data Engineer or Data Scientist to design and operate scalable data pipelines on Azure Databricks. The role demands 5‑8 years of hands‑on experience with Python, PySpark, and MLOps, and the ability to work independently while collaborating with cross‑functional teams.

Responsibilities

Build and maintain batch and streaming pipelines using Python, PySpark, and Azure Databricks.
Develop, debug, and optimise Spark DataFrame transformations and jobs.
Implement Delta Lake for data versioning and reliable querying.
Create APIs in Python or Scala to expose data and machine‑learning services.
Support end‑to‑end MLOps workflows, model deployment and monitoring.
Configure Databricks clusters, notebooks and integrate Azure services such as Event Hubs, Storage, Key Vault, Service Bus and Functions.

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Eligibility

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, IT or a related field.
5‑8 years of professional experience in data engineering, data science or cloud analytics.
Proven ability to work autonomously and communicate effectively with technical and business stakeholders.

Skills

Strong expertise in Python and PySpark.
Hands‑on experience with Azure Databricks and Azure cloud services.
Familiarity with MLOps practices and tools.
Experience developing Spark‑based applications and debugging them.
Knowledge of API development using Python or Scala.
Understanding of Delta Lake, streaming technologies (Kafka, Event Hubs) and version‑control systems.

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Asked for

Python
PySpark
Azure
Databricks
MLOps
Spark
Scala

Nice to have

Mlflow
CI/CD
Performance tuning
Data quality
Secure integration

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About Concentrix

Global technology and services leader

1001-5000 employees

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