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Home
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Exponentia Team
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Databricks Data Engineer

Databricks Data Engineer

Exponentia Team

4 - 9 years

4 - 7 Lacs

mumbai

Posted:Just now| Platform:

Apply

Skills Required

artificial intelligence cloud agile data processing data quality microsoft distribution system sql python data extraction

Work Mode

Work from Office

Job Type

Full Time

Job Description

We are seeking a skilled

Data Engineer

with strong experience in

PySpark, Python, Databricks

, and

SQL

. The ideal candidate will be responsible for designing and developing scalable data pipelines and processing frameworks using Spark technologies.

Key Responsibilities:

Develop and optimize data pipelines using
PySpark
and
Databricks
Implement batch and streaming data processing solutions
Collaborate with data scientists, analysts, and business stakeholders to gather data requirements
Work with large datasets to perform data transformations
Write efficient, maintainable, and well-documented PySpark code
Use
SQL
for data extraction, transformation, and reporting tasks
Monitor data workflows and troubleshoot performance issues on
Spark
platforms
Ensure data quality, integrity, and security across systems

Ideal Candidate Profile:

3+ years
of hands-on experience with
Databricks
4+ years
of experience with
PySpark
and
Python
Strong knowledge of
Apache Spark
ecosystem and its architecture
Proficiency in writing complex
SQL
queries (
3+ years
)
Experience in handling large-scale data processing and distributed systems
Good understanding of data warehousing concepts and ETL pipelines

Why Join Exponentia.ai

Innovate with Purpose: Opportunity to create pioneering AI solutions in partnership with leading cloud and data platforms
Shape the Practice: Build a marquee capability from the ground up with full ownership
Work with the Best: Collaborate with top-tier talent and learn from industry leaders in AI
Global Exposure: Be part of a high-growth firm operating across US, UK, UAE, India, and Singapore
Continuous Growth: Access to certifications, tech events, and partner-led innovation labs
Inclusive Culture: A supportive and diverse workplace that values learning, initiative, and ownership

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