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Big Data Engineer - Hadoop/PySpark (5-6 yrs)

5-6 years

Big Data Engineer - Hadoop/PySpark (5-6 yrs)

Spruce Infotech

posted 2d ago

Job Role Insights

Flexible timing

Job Description

Responsibilities :

- Design, develop, and implement robust big data pipelines and ETL processes using Hadoop and PySpark.

- Perform data analysis, transformation, and cleansing to extract valuable insights.

- Optimize performance and scalability of big data applications.

- Collaborate with data scientists and analysts to understand data requirements and translate them into technical solutions.

- Stay up-to-date with the latest advancements in big data technologies and trends.

- Troubleshoot and resolve complex data-related issues.

Qualifications :

- 5+ years of experience in big data engineering and development.

- Strong proficiency in Hadoop, PySpark, and related technologies.

- In-depth understanding of big data concepts, including data ingestion, processing, and analysis.

- Experience with data warehousing and data lakes.

- Knowledge of SQL and NoSQL databases.

- Excellent problem-solving and analytical skills.

- Strong communication and collaboration skills


Functional Areas: Software/Testing/Networking

Read full job description

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What people at Spruce Infotech are saying

What Spruce Infotech employees are saying about work life

based on 32 employees
68%
95%
95%
83%
Flexible timing
Monday to Friday
No travel
Day Shift
View more insights

Spruce Infotech Benefits

Work From Home
Soft Skill Training
Job Training
Cafeteria
Team Outings
International Relocation +6 more
View more benefits

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