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Capgemini
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Data Engineer

Data Engineer

Capgemini

2 - 5 years

4 - 8 Lacs

bengaluru

Posted:1 week ago| Platform:

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Skills Required

pyspark sql big data python data bricks hive cloudera scala data warehousing apache pig azure data factory data extraction spark oracle adf hadoop etl hbase oracle sql queries oozie data engineering data quality mapreduce sqoop hadoop stack aws

Work Mode

Work from Office

Job Type

Full Time

Job Description

About The Role
Data Engineer Databricks & PySpark
Location: Bangalore
Experience: 69 years
Your Role
As a Data Engineer, you will play a key role in designing and implementing scalable data solutions using Databricks, PySpark, and other modern data technologies. Youll collaborate with cross-functional teams to deliver high-performance data pipelines and contribute to the success of data-driven initiatives.In this role, you will:

Develop and optimize data pipelines using Databricks , PySpark , and Python .

Write efficient and scalable SQL queries for data extraction and transformation.

Collaborate with data architects and analysts to understand business requirements.

Integrate data workflows with Azure Data Factory (ADF) (preferred).

Work on Big Data/Hadoop platforms (preferred).

Ensure data quality, performance, and reliability across all solutions.

Participate in code reviews, testing, and deployment processes.

Your Profile

6- 9 years of experience in data engineering or related roles.

Strong hands-on experience with Databricks , PySpark , Python , and SQL .

Exposure to Azure Data Factory and Big Data/Hadoop is a plus.

Excellent problem-solving and communication skills.

Bachelors degree in Computer Science, Engineering, or a related field.

What Youll Love About Working Here

Flexible work options and a supportive environment for work-life balance.

Inclusive culture that values diversity and innovation.

Access to continuous learning and certifications in emerging technologies.

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Data Engineer