Databricks Engineer -W

Company
Name :

Job
Title :

Databricks
Engineer

Qualification
:

Any
graduation

Experience
:

3
to 5 years

Must
Have Skills :

Strong
hands -on experience with Databricks platform (Workspaces, Jobs, Clusters, Notebooks).

• Proficiency in PySpark for large -scale data processing and transformations.
  

• Solid
  understanding of Apache
  Spark architecture
  (RDDs, DataFrames, Spark SQL).
  

• Experience
  working with cloud
  platforms (Azure /
  AWS / GCP) and object storage (ADLS, S3, GCS).
  

• Knowledge of ETL/ELT pipelines,
  data modeling, and performance optimization techniques
  

Good
to Have Skills :

Experience
with Delta Lake,
Delta Live Tables, and data versioning.

• Familiarity
  with workflow
  orchestration tools
  (Databricks Workflows, Airflow).
  

• Exposure to CI/CD pipelines and DevOps practices for data engineering.
  

• Working
  knowledge of SQL,
  data warehousing concepts, and BI integrations.
  

• Experience
  with streaming data using Spark Structured Streaming or Kafka.
  

Roles
and Responsibilities :

Design,
develop, and maintain scalable data
pipelines using
Databricks and PySpark.

• Optimize Spark
  jobs for performance,
  cost, and reliability.
  

• Collaborate
  with data analysts, data scientists, and stakeholders to deliver
  data solutions.
  

• Implement data
  quality, validation, and monitoring mechanisms.
  

• Troubleshoot
  production issues and support end -to -end data workflows
  

Location
:

Hyberabad

CTC
Range :

14
LPA

Notice
period :

Immediate

Shift
Timings :

1
Pm to 10 pm

Mode
of Interview :

Virtual

Mode
of Work :

WFO

Mode
of Hire :

Permanent

Note
: