Data Engineer

Capgemini

6 - 9 years

8 - 18 Lacs

bengaluru

Posted:1 week ago| Platform:

Apply

Skills Required

python azure apache

Work Mode

Hybrid

Job Type

Full Time

Job Description

Job Summary:

Data Engineer

Key Responsibilities:

Design, build, and optimize
data pipelines
for efficient data ingestion, transformation, and storage.
Implement
ETL processes
and ensure data quality, reliability, and consistency across systems.
Develop and maintain
data warehouses
and support
business intelligence
initiatives.
Work with
big data frameworks
such as
Apache Hadoop
and
Apache Spark
for large-scale data processing.
Collaborate with cross-functional teams to integrate data from multiple sources using
Microsoft Azure Data Factory
and other tools.
Ensure
configuration management
, version control, and adherence to best practices in
DevOps
and
IT operations
.
Optimize systems for
high performance computing
and
parallel processing
.
Document processes, maintain operational reliability, and support production control.

Required Skills & Qualifications:

Programming Languages:
Java, Python, Scala, SQL
Big Data Technologies:
Apache Hadoop, Apache Spark
Cloud Platforms:
Microsoft Azure (including Azure Data Factory)
Data Management:
Data integration, data quality, data querying, data warehouse design
Analytical Skills:
Strong analytical thinking, problem-solving, and decision-making abilities
Tools & Practices:
ETL, version control, configuration management, DevOps principles
Mathematics & Statistics:
Solid foundation for data analysis and modeling
Soft Skills:
Excellent communication, documentation, and team management skills

Preferred Qualifications:

Experience with
parallel computing frameworks
and
high-performance systems
Knowledge of
business intelligence tools
and
data visualization
techniques
Familiarity with
multi-paradigm programming
and
cloud application platformsRole & responsibilities

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