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Capgemini
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Data Engineer

Data Engineer

Capgemini

6 - 9 years

12 - 16 Lacs

bengaluru

Posted:18 hours ago| Platform:

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Skills Required

pyspark data engineering azure data engineering data bricks python

Work Mode

Hybrid

Job Type

Full Time

Job Description

Job Title:

Location:

Exp:

Education:

Role Overview

Data Engineer

Key Responsibilities

Design, build, and optimize scalable data pipelines for processing large datasets.
Develop and maintain ETL workflows for data integration from multiple sources.
Implement and manage data warehousing solutions and dimensional modeling.
Ensure data quality, consistency, and governance across all systems.
Collaborate with data analysts, data scientists, and business teams to deliver reliable datasets.
Monitor and improve the performance and reliability of data systems.
Work with cloud platforms (Azure) and big data technologies to support advanced analytics.
Maintain version control and adhere to DevOps best practices for data engineering workflows.

Required Skills & Qualifications

Programming:
Proficiency in Python, Java, or Scala.
Databases:
Strong knowledge of SQL and relational databases.
ETL & Data Integration:
Hands-on experience with ETL tools and processes.
Data Warehousing:
Understanding of dimensional modeling and data architecture.
Big Data Technologies:
Familiarity with Hadoop, Spark, and distributed systems.
Cloud Platforms:
Expertise in Azure services (Azure Data Factory, Azure Databricks, Spark).
Data Quality & Governance:
Ability to implement standards and best practices.
Visualization:
Experience with data visualization tools (e.g., Power BI, Tableau).
Collaboration:
Strong communication and teamwork skills.
Version Control & DevOps:
Knowledge of Git and CI/CD practices.
Analytical Thinking:
Excellent problem-solving and analytical skills.

Preferred Qualifications

Experience with real-time data processing and streaming technologies.
Knowledge of containerization (Docker, Kubernetes) and orchestration.
Familiarity with machine learning workflows and data science support.

Why Join Us?

Opportunity to work on cutting-edge data technologies.
Collaborative and innovative work environment.
Career growth and learning opportunities in cloud and big data ecosystems.

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