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Capgemini
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Senior Software Engineer

Senior Software Engineer

Capgemini

4 - 7 years

6 - 10 Lacs

bengaluru

Posted:21 hours ago| Platform:

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Skills Required

azure databricks python pyspark data warehousing etl talend user stories relational databases data engineering java software engineering code review etl development

Work Mode

Work from Office

Job Type

Full Time

Job Description

Your Role

We are looking for the candidate who have 10- 15 yys of experience in Azure, Azure Databricks for Bangalore location.

Technical Skills

Azure Databricks
: Proficient in using Databricks for scalable data processing and analytics.
SQL
: Strong command over SQL for querying, transforming, and managing relational databases.
ETL Processes
: Hands-on experience in designing, developing, and maintaining robust ETL pipelines.
Data Warehousing (DWH)
: Solid understanding of data warehousing concepts, architecture, and tools.

Your Profile

Key Responsibilities

Independently work on assigned user stories and development tasks.
Create, manage, and optimize
Databricks notebooks
for data transformation and analysis.
Develop and maintain
ETL workflows
ensuring performance and reliability.
Collaborate with cross-functional teams to ensure
data quality, consistency, and integrity
.
Participate in code reviews and contribute to continuous improvement of data engineering practices.

Soft Skills

Self-driven with the ability to work independently and manage time effectively.
Strong analytical and
problem-solving
skills.
Good
communication and collaboration
skills to work effectively in a team environment.

Added Advantages (Nice to Have)

Talend
: Familiarity with Talend for ETL development and orchestration.
Python
: Working knowledge of Python for scripting, automation, and data manipulation.
PySpark
: Experience with PySpark for distributed data processing on large datasets.

Key Responsibilities

Independently work on assigned user stories and development tasks.
Create, manage, and optimize
Databricks notebooks
for data transformation and analysis.
Develop and maintain
ETL workflows
ensuring performance and reliability.
Collaborate with cross-functional teams to ensure
data quality, consistency, and integrity
.
Participate in code reviews and contribute to continuous improvement of data engineering practices.

Soft Skills

Self-driven with the ability to work independently and manage time effectively.
Strong analytical and
problem-solving
skills.
Good
communication and collaboration
skills to work effectively in a team environment.

Added Advantages (Nice to Have)

Talend
: Familiarity with Talend for ETL development and orchestration.
Python
: Working knowledge of Python for scripting, automation, and data manipulation.
PySpark
: Experience with PySpark for distributed data processing on large datasets.

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