Data Engineer - Big Data Analytics

What role you will play in team: You'll be part of a team responsible for building and maintaining data pipelines for large-scale data analysis projects. You will work with various big data technologies to ensure data quality and accessibility.

What you will do: You will design, develop, and maintain data pipelines for processing and storing large datasets. You will ensure data quality and optimize data processing performance.

Key responsibility:

• Design, develop, and implement data pipelines using big data technologies (e.g., Hadoop, Spark, Kafka).
• Develop and maintain data quality processes to ensure data accuracy and consistency.
• Optimize data processing performance to ensure efficient data analysis.
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  Collaborate with data scientists and other engineers to meet project requirements.
• Stay up-to-date on the latest advancements in big data technologies.

Required Qualification and Skills:

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 2+ years of experience in data engineering or a related role.
• Proficiency in at least one big data technology (e.g., Hadoop, Spark, Kafka).
• Experience with data warehousing and ETL processes.
• Strong problem-solving and analytical skills.

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Benefits Included:

• Competitive salary and benefits package.
• Opportunities for professional development and career growth.
• Exposure to cutting-edge big data technologies.
• Collaborative and supportive work environment.

A Day in the Life: Your day will involve building and maintaining data pipelines, optimizing data processing workflows, working with data scientists, and troubleshooting data-related issues.