Data Engineer

1 month ago

Gurugram, India GlobalLogic Full time

Job Description:

We are seeking a highly skilled Data Engineer with expertise in Apache Spark,

Scala, and Java to join our dynamic team. The ideal candidate will have a strong

background in data engineering, a deep understanding of big data technologies,

and the ability to design and implement scalable data processing solutions.

Responsibilities:

• Data Pipeline Development: Design, develop, and maintain scalable data

pipelines using Apache Spark, Scala, and Java.

• Data Integration: Integrate data from various sources, ensuring data

quality, consistency, and accessibility.

• Performance Optimization: Optimize and tune data processing workflows

for performance and efficiency.

• Collaboration: Work closely with data scientists, analysts, and other

stakeholders to understand data requirements and deliver effective solutions.

• Data Architecture: Contribute to the design and architecture of the data

infrastructure, ensuring it supports the business needs and scalability

requirements.

• Documentation: Document data processing workflows, architectures, and

best practices.

• Monitoring and Troubleshooting: Implement monitoring solutions to

ensure data pipeline reliability and troubleshoot issues as they arise.

• Continuous Improvement: Stay updated with the latest industry trends

and technologies, and continuously seek ways to improve the data engineering

processes.

Qualifications:

• Education: Bachelor’s or Master’s degree in Computer Science,

Information Technology, or a related field.

Experience:

• Proven experience as a Data Engineer or in a similar role.

• Extensive experience with Apache Spark and Scala.

• Strong programming skills in Java.

Technical Skills:

• Proficiency in big data technologies and frameworks.

• Experience with data modeling, ETL processes, and data warehousing

solutions.

• Familiarity with cloud platforms such as AWS.

• Knowledge of SQL and NoSQL databases.

• Understanding of data security and privacy best practices.

Soft Skills:

• Excellent problem-solving skills and attention to detail.

• Strong communication and collaboration skills.

• Ability to work in a fast-paced, dynamic environment.

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